MCP Container

headroom

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

GitHubWebsite

GitHub Stars

76,777

User Rating

Not Rated

Favorites

0

Views

300

Forks

5,959

Issues

502

Technical Information

Programming Languages

PythonPrimary Language

System Requirements

No specific requirements are documented

Maintenance Status

Active

GitHub Topics

APIFile SystemEmailAutomationAI/LLMagentaianthropicclaude-codecompressioncontext-engineeringcontext-windowcursorfastapilangchain
Author Information
headroomlabs-ai
headroomlabs-ai
GitHub

0

Followers

0

Repositories

0

Gists

0

Total Contributions

Tags
APIFile SystemEmailAutomationAI/LLMagentaianthropicclaude-codecompressioncontext-engineeringcontext-windowcursorfastapilangchain
Related MCPs
dify logo
dify
159182

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

Python
browser-use logo
browser-use
118798

Open-source Python library for AI browser agents, plus Browser Use Cloud: stealth browsers and a hosted agent API.

Python
Agent-Reach logo
Agent-Reach
99791

Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.

Python