RSpace MCP server
This is a proof-of-concept MCP server for RSpace that runs locally on your machine. It uses the RSpace Python client and exposes some RSpace API endpoints to LLM agents using the Model Context Protocol.
Installation and configuration
- Clone or download this repository to your local machine
- Install
uv
andpython
- Run
uv sync
to install dependencies - Create a
.env
file in the same folder and add - Connect your LLM app with the RSpace MCP server
- For VS Code Copilot, add an mcp.json with the following content
- For Claude Desktop, add a claude_desktop_config.json with the following content:
- For VS Code Copilot, add an mcp.json with the following content
Using the RSpace through the MCP server
Please bear in mind that this is a proof of concept and your production use case might require a more specific MCP server configured with specifically fine-tuned tools. The tools provided here in this prototype ...
- do not exhaustively feature the functionality currently available through the RSpace Python client
- might be more than you need for your use case
- might not be optimally configured for how you would like to interact with RSpace
We're curious to learn about how you (want to) use this solution, so let us know about your experiences and learnings or contribute them directly to this repository.
Use cases and applications
You can find descriptions of some usecases and examples in the examples folder and we're looking forward to hearing about new examples and learnings. If you have an experience to share, feel free to contribute.
Contributing new Tools
If you develop new tools or toolsets, feel free to share code snippets or entire tool sets in the tools folder with appropriate annotations.
Acknowledgements
This project is based on code originally created by richarda23.
This server cannot be installed
local-only server
The server can only run on the client's local machine because it depends on local resources.
A proof-of-concept server that enables LLM agents to interact with RSpace API endpoints using the Model Context Protocol, allowing AI assistants to access and manipulate research data in RSpace.
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