Headroom MCP Server
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
What is Headroom MCP Server?
Headroom MCP Server is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to compress tool outputs, logs, files, and rag chunks before they reach the llm. 60-95% fewer tokens, same answers. library, proxy, mcp server.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
This server falls under the AI/ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Compress tool outputs, logs, files, and RAG chunks before th
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx headroomExamples
No examples available for this server.
Configuration
Configuration Details
claude_desktop_config.json
Not available
Security
Authentication
Features
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Headroom MCP Server
What is Headroom MCP Server?
Headroom MCP Server is a Model Context Protocol (MCP) server that compress tool outputs, logs, files, and rag chunks before they reach the llm. 60-95% fewer tokens, same answers. library, proxy, mcp server. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Headroom MCP Server?
Follow the installation instructions on the Headroom MCP Server GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Headroom MCP Server?
Headroom MCP Server works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Headroom MCP Server free to use?
Yes, Headroom MCP Server is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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