Overview
What is MCP Server?
The MCP Server provides a comprehensive framework for AI-powered command execution, plugin-based tools, and advanced features including synchronous script execution, secure Python evaluation, and knowledge management. It can be run as a standalone service or embedded in other projects to expose a consistent API for invoking tools and managing tasks.
How to use MCP Server?
Install dependencies with uv sync or pip install -e ., create a .env file from the template, then start the server with uv run server/main.py and connect to the SSE endpoint at http://0.0.0.0:8000/sse. Docker builds are also supported via the included Dockerfile.
Key features of MCP Server
- Run-to-completion synchronous script execution with output capture
- Safe Python expression evaluation using RestrictedPython
- Responsive web interface for data analysis and visualization
- Modular plugin system for tools and integrations
- Browser automation via Playwright integration
- Dynamic tool definitions from YAML files
Use cases of MCP Server
- Execute and capture output of shell scripts synchronously
- Run secure Python expressions for data analysis
- Browse and visualize data frames via web interface
- Integrate with Azure DevOps, Git, Kusto, and CircleCI
- Manage knowledge graphs and vector stores
FAQ from MCP Server
How to install MCP Server?
Use uv sync or pip install -e . to install all dependencies.
How to configure MCP Server?
Copy config/env.template to .env and edit variables such as GIT_ROOT, AZREPO_ORG, AZREPO_PROJECT, and AZREPO_REPO.
How to run MCP Server?
Run uv run server/main.py and connect to the SSE endpoint at http://0.0.0.0:8000/sse.
How to add custom plugins?
Declare plugins in plugin_config.yaml with a plugin_repo entry, then run the mcp_admin tool with the refresh_plugins operation.
Can I use MCP Server with an editor like Cursor or VSCode?
Yes, add the SSE URL to your editor's MCP server settings (e.g., `"url": "http://0.0.0.0
