RSpace MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@RSpace MCP Serverlist my recent notebooks"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
RSpace MCP server
This is a proof-of-principle MCP server for RSpace. It exposes some RSpace API endpoints to LLM agents using the Model Context Protocol.
To run, install uv and python, then add this to your Claude or VS Code mcp.json
clone this repo
run
uv syncto install dependenciescreate a
.envfile in this folder. AddRSPACE_URL=RSpace URL # e.g. https://community.researchspace.com
RSPACE_API_KEY=your API key
Configure your LLM app. Below is config for VSCode Copilot.
For Claude Desktop add the "rspace" server definition below to your MCP config file.
{
"inputs": [
{
"type": "promptString",
"id": "rspace-apikey",
"description": "RSpace API Key",
"password": true
},
{
"type": "promptString",
"id": "rspace-url",
"description": "RSpace base URL",
"password": false
}
],
"servers": {
"rspace": {
"command": "uv",
"args": [
"--directory",
"<full path to this directory>",
"run",
"main.py"
],
"env": {
"RSPACE_API_KEY": "${input:rspace-apikey}",
"RSPACE_URL": "${input:rspace-url}"
}
}
}
}This server cannot be installed
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/richarda23/rspace-mcp'
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