RLM
Enables the analysis of massive datasets by storing data in external variables via a sandboxed Python REPL instead of the model's context window. This allows users to process files larger than 100MB without polluting the context or hitting token limi
What is RLM?
RLM is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables the analysis of massive datasets by storing data in external variables via a sandboxed python repl instead of the model's context window. this allows users to process files larger than 100mb w...
Enables the analysis of massive datasets by storing data in external variables via a sandboxed Python REPL instead of the model's context window. This allows users to process files larger than 100MB without polluting the context or hitting token limi
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables the analysis of massive datasets by storing data in
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx rlm-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about RLM
What is RLM?
RLM is a Model Context Protocol (MCP) server that enables the analysis of massive datasets by storing data in external variables via a sandboxed python repl instead of the model's context window. this allows users to process files larger than 100mb without polluting the context or hitting token limi It connects AI assistants to external tools and data sources through a standardized interface.
How do I install RLM?
Follow the installation instructions on the RLM GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with RLM?
RLM works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is RLM free to use?
Yes, RLM is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up RLM in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use RLM?
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