RLM MCP Server
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
About
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
Features
- Enables the analysis of massive datasets by storing data in
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx rlm-mcp-serverExamples
No examples available for this server.
Configuration
Configuration Details
claude_desktop_config.json
Not available
Security
Authentication
Features
Performance
Response Metrics
Resource Usage
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