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Parent(s):
94a770b
MCP-enabled Gradio Space using PowerMCP as external dependency
Browse files- .gitignore +62 -0
- README.md +234 -6
- app.py +320 -0
- requirements.txt +19 -0
.gitignore
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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env/
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venv/
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ENV/
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# IDEs
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# OS
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.DS_Store
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Thumbs.db
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# Gradio
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flagged/
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gradio_cached_examples/
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# Logs
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*.log
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logs/
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# Environment
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.env
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.env.local
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# Developer documentation (not needed for MCP users)
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DEPLOYMENT.md
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DEPLOYMENT_CHECKLIST.md
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EXAMPLES.md
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IMPLEMENTATION_SUMMARY.md
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QUICKSTART.md
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test_setup.py
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.env.example
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PowerMCP_Tutorial.pdf
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# Keep README.md as it's required for Hugging Face Space
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INSTALL.md
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MANIFEST.in
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setup.py
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README.md
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---
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-
title:
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emoji:
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colorFrom:
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colorTo:
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned: false
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---
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-
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---
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title: PowerMCP - Power System Analysis MCP Server
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emoji: ⚡
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colorFrom: blue
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colorTo: green
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sdk: gradio
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sdk_version: 5.0.0
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app_file: app.py
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pinned: false
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license: mit
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tags:
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- mcp
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- power-systems
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- electrical-engineering
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- simulation
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- model-context-protocol
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---
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# ⚡ PowerMCP - Power System Analysis MCP Server
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[](https://modelcontextprotocol.io/)
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[](https://gradio.app/)
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[](https://opensource.org/licenses/MIT)
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This is an **MCP-enabled Hugging Face Space** for **PowerMCP** - an open-source collection of Model Context Protocol (MCP) servers for power system software. This Space can be added as an MCP tool to Claude Desktop, Cursor, or any other MCP-compatible client with a single click!
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## 🌟 What is PowerMCP?
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PowerMCP enables Large Language Models (LLMs) to directly interact with power system applications through the Model Context Protocol. It bridges the gap between AI and power system analysis, facilitating:
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- **Intelligent Power Flow Analysis**: Let AI perform complex power system simulations
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- **Automated Contingency Analysis**: AI-driven evaluation of grid contingencies
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- **Dynamic Simulation**: Transient stability and time-domain analysis
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- **Energy System Optimization**: Network expansion and optimal power flow
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- **Professional Report Generation**: AI-generated analysis reports
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## 🔧 Supported Power System Tools
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### 🔌 pandapower
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Python-based power system analysis focusing on power flow and contingency analysis.
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- Create and manage power networks
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- AC/DC power flow calculations
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- N-1 and N-2 contingency analysis
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- Network modification and optimization
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### ⚡ PyPSA (Python for Power System Analysis)
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Energy system optimization and network expansion planning.
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- Multi-period optimization
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- Unit commitment and economic dispatch
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- Network expansion planning
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- Renewable integration analysis
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### 🌊 ANDES
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Dynamic simulation and transient stability analysis.
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- Time-domain simulation
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- Transient stability analysis
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- Small-signal stability
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- Dynamic model library
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## 🚀 Quick Start
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### Option 1: Install from GitHub (Local MCP Server)
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```bash
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# Install PowerMCP
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pip install git+https://github.com/Power-Agent/PowerMCP.git
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# Configure Claude Desktop (macOS)
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# Edit: ~/Library/Application Support/Claude/claude_desktop_config.json
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{
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"mcpServers": {
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"pandapower": {
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"command": "powermcp-pandapower"
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}
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}
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}
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# Restart Claude Desktop and start using PowerMCP!
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```
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See [INSTALL.md](INSTALL.md) for detailed installation instructions.
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### Option 2: Use Hugging Face Space as MCP Tool
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1. **Install an MCP Client**:
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- [Claude Desktop](https://claude.ai/download)
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- [Cursor](https://cursor.sh/)
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- [Windsurf](https://codeium.com/windsurf)
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- VS Code with Cline extension
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2. **Add PowerMCP to Your Client**:
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- Click the **MCP badge** on this Space
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- Select "Add to MCP tools"
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- Confirm when prompted
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- The tools will be available instantly in your MCP client!
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3. **Use PowerMCP in Your AI Assistant**:
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```
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Ask Claude: "Create a power network and run power flow analysis"
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Ask Cursor: "Load test_case.json and perform N-1 contingency analysis"
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```
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### Option 2: Use Web Interface
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1. Select a power system tool (pandapower, PyPSA, or ANDES)
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2. Click "List Available Tools" to see all functions
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3. Enter the tool name and arguments in JSON format
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4. Click "Execute Tool" to run
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5. View results in JSON format
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## 📖 Example Usage
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### In MCP Clients (Claude Desktop, Cursor, etc.)
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```python
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# Create and analyze a power network
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create_empty_network(server="pandapower")
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load_network(file_path="test_case.json", server="pandapower")
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run_power_flow(server="pandapower", algorithm="nr")
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get_network_info(server="pandapower")
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# Run contingency analysis
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run_contingency_analysis(
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server="pandapower",
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contingency_type="N-1",
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elements=["line", "trafo"]
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)
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# PyPSA optimization
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create_network(name="my_network", server="pypsa")
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add_bus(network_name="my_network", bus_id="bus1", v_nom=380.0, server="pypsa")
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run_optimization(network_name="my_network", server="pypsa")
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# ANDES dynamic simulation
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run_power_flow(file_path="kundur_full.json", server="andes")
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run_time_domain_simulation(
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file_path="kundur_full.json",
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end_time=10.0,
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step_size=0.01,
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server="andes"
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)
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```
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### In Web Interface
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#### Create an Empty Network
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```json
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Tool Name: create_empty_network
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Arguments: {}
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```
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#### Load a Network
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```json
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Tool Name: load_network
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Arguments: {"file_path": "PowerMCP/pandapower/test_case.json"}
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```
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#### Run Power Flow
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```json
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Tool Name: run_power_flow
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Arguments: {"algorithm": "nr"}
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```
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## 🎯 Available Tools by Server
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| 165 |
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### pandapower Tools
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- `create_empty_network()` - Create new empty network
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| 168 |
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- `load_network(file_path)` - Load from JSON/pickle
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| 169 |
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- `run_power_flow(algorithm, ...)` - Power flow analysis
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| 170 |
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- `run_contingency_analysis(contingency_type, elements)` - N-1/N-2 analysis
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- `get_network_info()` - Network statistics
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| 172 |
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### PyPSA Tools
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- `create_network(name, snapshots, crs)` - Create PyPSA network
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| 175 |
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- `add_bus(network_name, bus_id, v_nom, x, y, carrier)` - Add bus
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| 176 |
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- `add_generator(network_name, generator_id, bus, p_nom, ...)` - Add generator
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| 177 |
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- `run_optimization(network_name)` - Optimal power flow
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| 178 |
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- `get_network_info(network_name)` - Network information
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| 179 |
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### ANDES Tools
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- `run_power_flow(file_path)` - Power flow with ANDES
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| 182 |
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- `run_time_domain_simulation(file_path, end_time, step_size)` - Dynamic simulation
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| 183 |
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- `get_bus_results()` - Bus voltage/angle results
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| 184 |
+
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| 185 |
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## 💻 Development
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| 186 |
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| 187 |
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### Deploy Your Own Space
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| 188 |
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| 189 |
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1. Fork this repository
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| 190 |
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2. Create a new Space on [Hugging Face](https://huggingface.co/new-space)
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| 191 |
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3. Choose Gradio SDK and link your repository
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| 192 |
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4. The Space will automatically get the MCP badge!
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| 193 |
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| 194 |
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### Running Locally
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| 195 |
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| 196 |
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```bash
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| 197 |
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git clone https://github.com/Power-Agent/PowerMCP.git
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| 198 |
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cd PowerMCP
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| 199 |
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pip install -r requirements.txt
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| 200 |
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python app.py
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| 201 |
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```
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| 202 |
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| 203 |
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### Local MCP Configuration
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| 204 |
+
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| 205 |
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For Claude Desktop (`~/Library/Application Support/Claude/claude_desktop_config.json`):
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| 206 |
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| 207 |
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```json
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| 208 |
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{
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| 209 |
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"mcpServers": {
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"pandapower": {
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| 211 |
+
"command": "/usr/local/bin/python3",
|
| 212 |
+
"args": ["/path/to/PowerMCP/PowerMCP/pandapower/panda_mcp.py"]
|
| 213 |
+
}
|
| 214 |
+
}
|
| 215 |
+
}
|
| 216 |
+
```
|
| 217 |
+
|
| 218 |
+
## 🔗 Resources
|
| 219 |
+
|
| 220 |
+
- **GitHub**: [Power-Agent/PowerMCP](https://github.com/Power-Agent/PowerMCP)
|
| 221 |
+
- **MCP Docs**: [modelcontextprotocol.io](https://modelcontextprotocol.io/)
|
| 222 |
+
- **Tutorial**: [PowerMCP Tutorial](https://github.com/Power-Agent/PowerMCP/blob/main/PowerMCP_Tutorial.pdf)
|
| 223 |
+
- **Gradio MCP Guide**: [Building MCP Servers](https://www.gradio.app/guides/building-mcp-server-with-gradio)
|
| 224 |
+
|
| 225 |
+
## 🎥 Video Demos
|
| 226 |
+
|
| 227 |
+
- [Contingency Evaluation](https://www.youtube.com/watch?v=MbF-SlBI4Ws)
|
| 228 |
+
- [Load Growth Evaluation](https://www.youtube.com/watch?v=euFUvhhV5dM)
|
| 229 |
+
|
| 230 |
+
## 📄 License
|
| 231 |
+
|
| 232 |
+
MIT License - See [LICENSE](LICENSE) file for details
|
| 233 |
+
|
| 234 |
+
## 🤝 Contributing
|
| 235 |
+
|
| 236 |
+
Contributions welcome! PowerMCP is community-driven. Help us accelerate AI adoption in power systems.
|
| 237 |
+
|
| 238 |
+
---
|
| 239 |
+
|
| 240 |
+
Built with ❤️ by the PowerMCP Community
|
app.py
ADDED
|
@@ -0,0 +1,320 @@
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""
|
| 2 |
+
PowerMCP Hugging Face Space - MCP Server Interface
|
| 3 |
+
This application provides a Gradio interface for interacting with PowerMCP servers.
|
| 4 |
+
"""
|
| 5 |
+
|
| 6 |
+
import gradio as gr
|
| 7 |
+
import json
|
| 8 |
+
from typing import Dict, Any, List, Optional
|
| 9 |
+
import importlib
|
| 10 |
+
import traceback
|
| 11 |
+
|
| 12 |
+
class PowerMCPInterface:
|
| 13 |
+
"""Interface for interacting with PowerMCP servers"""
|
| 14 |
+
|
| 15 |
+
def __init__(self):
|
| 16 |
+
self.servers = {}
|
| 17 |
+
self.current_states = {} # Store network states per server
|
| 18 |
+
self._initialize_servers()
|
| 19 |
+
|
| 20 |
+
def _initialize_servers(self):
|
| 21 |
+
"""Initialize all available MCP servers"""
|
| 22 |
+
# Try to import each server from installed PowerMCP package
|
| 23 |
+
servers_config = {
|
| 24 |
+
"pandapower": "PowerMCP.pandapower.panda_mcp",
|
| 25 |
+
"pypsa": "PowerMCP.PyPSA.pypsa_mcp",
|
| 26 |
+
"andes": "PowerMCP.ANDES.andes_mcp",
|
| 27 |
+
}
|
| 28 |
+
|
| 29 |
+
for server_name, module_path in servers_config.items():
|
| 30 |
+
try:
|
| 31 |
+
module = importlib.import_module(module_path)
|
| 32 |
+
if hasattr(module, 'mcp'):
|
| 33 |
+
self.servers[server_name] = module.mcp
|
| 34 |
+
print(f"✓ Loaded {server_name} server")
|
| 35 |
+
except Exception as e:
|
| 36 |
+
print(f"✗ Could not load {server_name}: {str(e)}")
|
| 37 |
+
|
| 38 |
+
def get_available_servers(self) -> List[str]:
|
| 39 |
+
"""Get list of available servers"""
|
| 40 |
+
return list(self.servers.keys())
|
| 41 |
+
|
| 42 |
+
def get_tools_for_server(self, server_name: str) -> List[Dict[str, str]]:
|
| 43 |
+
"""Get list of available tools for a specific server"""
|
| 44 |
+
if server_name not in self.servers:
|
| 45 |
+
return []
|
| 46 |
+
|
| 47 |
+
server = self.servers[server_name]
|
| 48 |
+
tools = []
|
| 49 |
+
|
| 50 |
+
# FastMCP stores tools in list_tools()
|
| 51 |
+
if hasattr(server, 'list_tools'):
|
| 52 |
+
try:
|
| 53 |
+
tool_list = server.list_tools()
|
| 54 |
+
for tool in tool_list:
|
| 55 |
+
tools.append({
|
| 56 |
+
"name": tool.name if hasattr(tool, 'name') else str(tool),
|
| 57 |
+
"description": tool.description if hasattr(tool, 'description') else "No description"
|
| 58 |
+
})
|
| 59 |
+
except Exception as e:
|
| 60 |
+
print(f"Error listing tools: {e}")
|
| 61 |
+
|
| 62 |
+
return tools
|
| 63 |
+
|
| 64 |
+
def call_tool(self, server_name: str, tool_name: str, arguments: Dict[str, Any]) -> Dict[str, Any]:
|
| 65 |
+
"""Call a tool on the MCP server"""
|
| 66 |
+
try:
|
| 67 |
+
if server_name not in self.servers:
|
| 68 |
+
return {"error": f"Server '{server_name}' not found"}
|
| 69 |
+
|
| 70 |
+
server = self.servers[server_name]
|
| 71 |
+
|
| 72 |
+
# Get the tool function
|
| 73 |
+
tool_func = None
|
| 74 |
+
if hasattr(server, '_mcp_tools'):
|
| 75 |
+
tool_func = server._mcp_tools.get(tool_name)
|
| 76 |
+
|
| 77 |
+
if tool_func is None:
|
| 78 |
+
return {"error": f"Tool '{tool_name}' not found"}
|
| 79 |
+
|
| 80 |
+
# Execute the tool
|
| 81 |
+
result = tool_func(**arguments)
|
| 82 |
+
return result if isinstance(result, dict) else {"result": str(result)}
|
| 83 |
+
|
| 84 |
+
except Exception as e:
|
| 85 |
+
return {
|
| 86 |
+
"error": str(e),
|
| 87 |
+
"traceback": traceback.format_exc()
|
| 88 |
+
}
|
| 89 |
+
|
| 90 |
+
# Initialize the interface
|
| 91 |
+
interface = PowerMCPInterface()
|
| 92 |
+
|
| 93 |
+
# ============= MCP Tool Functions (for Gradio MCP server mode) =============
|
| 94 |
+
|
| 95 |
+
def create_empty_network(server: str = "pandapower") -> Dict[str, Any]:
|
| 96 |
+
"""Create an empty power network.
|
| 97 |
+
|
| 98 |
+
Args:
|
| 99 |
+
server: The power system tool to use (pandapower, pypsa, andes)
|
| 100 |
+
|
| 101 |
+
Returns:
|
| 102 |
+
Dictionary with status and network information
|
| 103 |
+
"""
|
| 104 |
+
return interface.call_tool(server, "create_empty_network", {})
|
| 105 |
+
|
| 106 |
+
def load_network(file_path: str, server: str = "pandapower") -> Dict[str, Any]:
|
| 107 |
+
"""Load a power network from a file.
|
| 108 |
+
|
| 109 |
+
Args:
|
| 110 |
+
file_path: Path to the network file
|
| 111 |
+
server: The power system tool to use
|
| 112 |
+
|
| 113 |
+
Returns:
|
| 114 |
+
Dictionary with status and network information
|
| 115 |
+
"""
|
| 116 |
+
return interface.call_tool(server, "load_network", {"file_path": file_path})
|
| 117 |
+
|
| 118 |
+
def run_power_flow(server: str = "pandapower", algorithm: str = "nr") -> Dict[str, Any]:
|
| 119 |
+
"""Run power flow analysis on the loaded network.
|
| 120 |
+
|
| 121 |
+
Args:
|
| 122 |
+
server: The power system tool to use
|
| 123 |
+
algorithm: Power flow algorithm to use
|
| 124 |
+
|
| 125 |
+
Returns:
|
| 126 |
+
Dictionary with power flow results
|
| 127 |
+
"""
|
| 128 |
+
return interface.call_tool(server, "run_power_flow", {"algorithm": algorithm})
|
| 129 |
+
|
| 130 |
+
def get_network_info(server: str = "pandapower") -> Dict[str, Any]:
|
| 131 |
+
"""Get information about the current network.
|
| 132 |
+
|
| 133 |
+
Args:
|
| 134 |
+
server: The power system tool to use
|
| 135 |
+
|
| 136 |
+
Returns:
|
| 137 |
+
Dictionary with network statistics
|
| 138 |
+
"""
|
| 139 |
+
return interface.call_tool(server, "get_network_info", {})
|
| 140 |
+
|
| 141 |
+
# ============= UI Helper Functions =============
|
| 142 |
+
|
| 143 |
+
def format_tools_list(server_name: str) -> str:
|
| 144 |
+
"""Format the list of available tools"""
|
| 145 |
+
tools = interface.get_tools_for_server(server_name)
|
| 146 |
+
if not tools:
|
| 147 |
+
return "No tools available for this server"
|
| 148 |
+
|
| 149 |
+
output = f"## Available Tools for {server_name}\n\n"
|
| 150 |
+
for tool in tools:
|
| 151 |
+
output += f"### {tool['name']}\n{tool['description']}\n\n"
|
| 152 |
+
|
| 153 |
+
return output
|
| 154 |
+
|
| 155 |
+
def execute_tool_call(server_name: str, tool_name: str, arguments_json: str) -> str:
|
| 156 |
+
"""Execute a tool call and return the result"""
|
| 157 |
+
try:
|
| 158 |
+
# Parse arguments
|
| 159 |
+
if arguments_json.strip():
|
| 160 |
+
arguments = json.loads(arguments_json)
|
| 161 |
+
else:
|
| 162 |
+
arguments = {}
|
| 163 |
+
|
| 164 |
+
# Call the tool
|
| 165 |
+
result = interface.call_tool(server_name, tool_name, arguments)
|
| 166 |
+
return json.dumps(result, indent=2, default=str)
|
| 167 |
+
except json.JSONDecodeError as e:
|
| 168 |
+
return json.dumps({"error": f"Invalid JSON in arguments: {str(e)}"}, indent=2)
|
| 169 |
+
except Exception as e:
|
| 170 |
+
return json.dumps({"error": f"Execution failed: {str(e)}", "traceback": traceback.format_exc()}, indent=2)
|
| 171 |
+
|
| 172 |
+
# Create Gradio interface with MCP server support
|
| 173 |
+
with gr.Blocks(title="PowerMCP Server Interface", theme=gr.themes.Soft()) as demo:
|
| 174 |
+
gr.Markdown("""
|
| 175 |
+
# ⚡ PowerMCP - Power System Analysis MCP Server
|
| 176 |
+
|
| 177 |
+
This is an MCP-enabled Hugging Face Space for **PowerMCP** - an open-source collection of
|
| 178 |
+
Model Context Protocol (MCP) servers for power system software.
|
| 179 |
+
|
| 180 |
+
**Available Tools:**
|
| 181 |
+
- **pandapower**: Power flow, contingency analysis, network management
|
| 182 |
+
- **PyPSA**: Energy system optimization, network expansion
|
| 183 |
+
- **ANDES**: Dynamic simulation, transient stability analysis
|
| 184 |
+
|
| 185 |
+
This Space can be used in two ways:
|
| 186 |
+
1. **As an MCP tool** in Claude Desktop, Cursor, or other MCP clients (click the MCP badge)
|
| 187 |
+
2. **Web interface** for manual tool execution and testing
|
| 188 |
+
""")
|
| 189 |
+
|
| 190 |
+
with gr.Tab("🔧 Tool Explorer"):
|
| 191 |
+
with gr.Row():
|
| 192 |
+
with gr.Column(scale=1):
|
| 193 |
+
gr.Markdown("## Server Configuration")
|
| 194 |
+
server_dropdown = gr.Dropdown(
|
| 195 |
+
choices=interface.get_available_servers(),
|
| 196 |
+
value=interface.get_available_servers()[0] if interface.get_available_servers() else None,
|
| 197 |
+
label="Select Power System Tool",
|
| 198 |
+
interactive=True
|
| 199 |
+
)
|
| 200 |
+
|
| 201 |
+
tools_button = gr.Button("📋 List Available Tools", variant="primary")
|
| 202 |
+
tools_output = gr.Markdown(label="Available Tools")
|
| 203 |
+
|
| 204 |
+
with gr.Column(scale=2):
|
| 205 |
+
gr.Markdown("## Execute Tool")
|
| 206 |
+
|
| 207 |
+
tool_name_input = gr.Textbox(
|
| 208 |
+
label="Tool Name",
|
| 209 |
+
placeholder="e.g., create_empty_network",
|
| 210 |
+
lines=1
|
| 211 |
+
)
|
| 212 |
+
|
| 213 |
+
arguments_input = gr.Code(
|
| 214 |
+
label="Arguments (JSON)",
|
| 215 |
+
language="json",
|
| 216 |
+
value="{}",
|
| 217 |
+
lines=5
|
| 218 |
+
)
|
| 219 |
+
|
| 220 |
+
execute_button = gr.Button("▶️ Execute Tool", variant="primary")
|
| 221 |
+
|
| 222 |
+
result_output = gr.Code(
|
| 223 |
+
label="Result",
|
| 224 |
+
language="json",
|
| 225 |
+
lines=15
|
| 226 |
+
)
|
| 227 |
+
|
| 228 |
+
with gr.Tab("📚 Documentation"):
|
| 229 |
+
gr.Markdown("""
|
| 230 |
+
## PowerMCP Tools Documentation
|
| 231 |
+
|
| 232 |
+
### pandapower
|
| 233 |
+
A Python-based power system analysis tool focusing on power flow and contingency analysis.
|
| 234 |
+
|
| 235 |
+
**Key Functions:**
|
| 236 |
+
- `create_empty_network()` - Create a new empty network
|
| 237 |
+
- `load_network(file_path)` - Load network from JSON/pickle file
|
| 238 |
+
- `run_power_flow(algorithm, calculate_voltage_angles, max_iteration, tolerance_mva)` - Run power flow analysis
|
| 239 |
+
- `run_contingency_analysis(contingency_type, elements)` - Perform N-1 or N-2 analysis
|
| 240 |
+
- `get_network_info()` - Get network statistics
|
| 241 |
+
|
| 242 |
+
### PyPSA (Python for Power System Analysis)
|
| 243 |
+
Energy system optimization and network expansion planning.
|
| 244 |
+
|
| 245 |
+
**Key Functions:**
|
| 246 |
+
- `create_network(name, snapshots, crs)` - Create new PyPSA network
|
| 247 |
+
- `add_bus(network_name, bus_id, v_nom, x, y, carrier)` - Add bus to network
|
| 248 |
+
- `add_generator(network_name, generator_id, bus, p_nom, ...)` - Add generator
|
| 249 |
+
- `run_optimization(network_name)` - Run optimal power flow
|
| 250 |
+
- `get_network_info(network_name)` - Get network information
|
| 251 |
+
|
| 252 |
+
### ANDES
|
| 253 |
+
Dynamic simulation and transient stability analysis.
|
| 254 |
+
|
| 255 |
+
**Key Functions:**
|
| 256 |
+
- `run_power_flow(file_path)` - Run power flow analysis
|
| 257 |
+
- `run_time_domain_simulation(file_path, end_time, step_size)` - Run transient analysis
|
| 258 |
+
- `get_bus_results()` - Get bus voltage and angle results
|
| 259 |
+
- `get_generator_results()` - Get generator output results
|
| 260 |
+
|
| 261 |
+
## Example Usage in MCP Clients
|
| 262 |
+
|
| 263 |
+
```python
|
| 264 |
+
# In Claude Desktop or Cursor with PowerMCP enabled:
|
| 265 |
+
|
| 266 |
+
# Create and analyze a network
|
| 267 |
+
create_empty_network(server="pandapower")
|
| 268 |
+
load_network(file_path="test_case.json", server="pandapower")
|
| 269 |
+
run_power_flow(server="pandapower", algorithm="nr")
|
| 270 |
+
get_network_info(server="pandapower")
|
| 271 |
+
```
|
| 272 |
+
|
| 273 |
+
## About PowerMCP
|
| 274 |
+
|
| 275 |
+
PowerMCP enables Large Language Models to directly interact with power system
|
| 276 |
+
applications through the Model Context Protocol (MCP). This allows AI assistants
|
| 277 |
+
to perform power system analysis, optimization, and simulation tasks.
|
| 278 |
+
|
| 279 |
+
**Links:**
|
| 280 |
+
- [GitHub Repository](https://github.com/Power-Agent/PowerMCP)
|
| 281 |
+
- [MCP Documentation](https://modelcontextprotocol.io/)
|
| 282 |
+
- [Tutorial](https://huggingface.co/learn/mcp-course)
|
| 283 |
+
|
| 284 |
+
## Setting Up MCP Client
|
| 285 |
+
|
| 286 |
+
1. Install Claude Desktop, Cursor, or another MCP-compatible client
|
| 287 |
+
2. Click the MCP badge on this Space
|
| 288 |
+
3. Select "Add to MCP tools"
|
| 289 |
+
4. The tools will be available in your client immediately
|
| 290 |
+
|
| 291 |
+
For local development, see the [PowerMCP README](https://github.com/Power-Agent/PowerMCP).
|
| 292 |
+
""")
|
| 293 |
+
|
| 294 |
+
# Event handlers
|
| 295 |
+
tools_button.click(
|
| 296 |
+
fn=format_tools_list,
|
| 297 |
+
inputs=[server_dropdown],
|
| 298 |
+
outputs=[tools_output]
|
| 299 |
+
)
|
| 300 |
+
|
| 301 |
+
execute_button.click(
|
| 302 |
+
fn=execute_tool_call,
|
| 303 |
+
inputs=[server_dropdown, tool_name_input, arguments_input],
|
| 304 |
+
outputs=[result_output]
|
| 305 |
+
)
|
| 306 |
+
|
| 307 |
+
# Load tools on startup
|
| 308 |
+
demo.load(
|
| 309 |
+
fn=format_tools_list,
|
| 310 |
+
inputs=[server_dropdown],
|
| 311 |
+
outputs=[tools_output]
|
| 312 |
+
)
|
| 313 |
+
|
| 314 |
+
def main():
|
| 315 |
+
"""Entry point for powermcp-app command"""
|
| 316 |
+
# Enable MCP server mode - this exposes the Space as an MCP tool
|
| 317 |
+
demo.launch(mcp_server=True)
|
| 318 |
+
|
| 319 |
+
if __name__ == "__main__":
|
| 320 |
+
main()
|
requirements.txt
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Gradio with MCP support
|
| 2 |
+
gradio[mcp]>=5.0.0
|
| 3 |
+
|
| 4 |
+
# PowerMCP - Install from GitHub
|
| 5 |
+
git+https://github.com/Power-Agent/PowerMCP.git
|
| 6 |
+
|
| 7 |
+
# Core dependencies
|
| 8 |
+
numpy>=1.24.0
|
| 9 |
+
pandas>=2.0.0
|
| 10 |
+
scipy>=1.10.0
|
| 11 |
+
networkx>=3.0
|
| 12 |
+
matplotlib>=3.7.0
|
| 13 |
+
|
| 14 |
+
# Additional PyPSA dependencies
|
| 15 |
+
xarray>=2023.0.0
|
| 16 |
+
netcdf4>=1.6.0
|
| 17 |
+
|
| 18 |
+
# Additional ANDES dependencies
|
| 19 |
+
kvxopt>=1.3.0
|