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mcp-server

headroom: Reduce Token Count

Get same answers with 60-95% fewer tokens for your LLM, ideal for founders using Python and LLM technology, backed by 11k+ GitHub stars
23,507 stars1,523 forksPythonQuality 8/10Updated 6/12/2026100% free Β· open source

About this skill

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

Topics

agent
ai
anthropic
claude-code
compression
context-engineering
context-window
cursor
fastapi
langchain
llm
mcp
openai
prompt-engineering
proxy
python
rag
token-optimization
tokens
typescript
What's inside β€” free to inspect
No purchase needed

Read the entire source before you build β€” unlike paid marketplaces that hide it behind a buy button.

43
top-level files
17
folders
51.6M
repo size
Apache-2.0
license
Key files
.pre-commit-config.yaml
.release-please-config.json
README.md
File tree
.claude-plugin/
.devcontainer/
.github/
benchmarks/
crates/
docker/
docs/
e2e/
examples/
headroom/
plugins/
REALIGNMENT/
scripts/
sdk/
sql/
tests/
wiki/
.actrc
.actrc.local.example
.changelog.md
.commitlintrc.json
.dockerignore
.env.act.example
.env.example
Quick Actions
Details
Creator
chopratejas
Language
Python
Category
mcp-server
Published
1/7/2026

Are you the creator of this tool? Claim your listing β†’ and earn 85% of every sale.

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