mcp-registry/excel-mcp-server

    ==================
      
       /// MCP ///
      /// EXC ///
        
    ==================
        
    [server:online]
    [protocol:ready]

excel-mcp-server

by haris-musa

Model Context Protocol server that lets AI agents create, read and modify Excel workbooks without a local Excel install.

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Installation

1. Prerequisites
• Python 3.9 or newer
• (optional) A virtual-environment tool such as venv or Conda
2. Install from PyPI (recommended)
pip install excel-mcp-server
OR install the bleeding edge version from source:
git clone https://github.com/haris-musa/excel-mcp-server.git cd excel-mcp-server pip install -e .
3. Environment variables (minimum)
# token used by the MCP server when it has to call an upstream LLM provider export OPENAI_API_KEY="<your-openai-key>" # port the HTTP/SSE service will bind to export MCP_PORT=8080
4. Launch the server
python -m excel_mcp_server # or, if a CLI entry-point is provided excel-mcp-server --host 0.0.0.0 --port ${MCP_PORT}
5. Verify
Open http://localhost:8080/health in a browser or run
curl http://localhost:8080/health
A JSON payload such as `{"status":"ok"}` means the service is up.

Documentation

License: MIT License
Updated 7/30/2025