The rmcp server enables AI agents to perform statistical analysis on conversational data. It provides tools for data cleaning, visualization, and hypothesis testing. The server connects to Python's scipy and statsmodels libraries for statistical computations. Data scientists and analysts use it to derive insights from conversational datasets.
The rmcp server enables AI agents to perform statistical analysis on conversational data. It provides tools for data cleaning, visualization, and hypothesis testing. The server connects to Python's scipy and statsmodels libraries for statistical computations. Data scientists and analysts use it to derive insights from conversational datasets.
pip install rmcpAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"finite-sample-rmcp-github": {
"command": "uvx",
"args": [
"pip install rmcp"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from rmcp?"
No configuration required. This server works out of the box.
"What resources are available in rmcp?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in rmcp"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in rmcp with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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