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tokenslim-mcp

robertruben98/tokenslim-mcp
0 starsApache-2.0Updated 2026-06-24Community

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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

Provides context compression via the tokenslim engine, enabling MCP hosts to reduce token usage while preserving key information. Offers compress, retrieve, and stats tools for managing compressed content.

README.md

tokenslim-mcp

MCP server exposing the tokenslim context-compression engine to any MCP host (Claude Code, Cursor, …). Stdio transport, built on the official Python mcp SDK (FastMCP).

Tools

| Tool | Args | Returns | | --- | --- | --- | | tokenslim_compress | content: str, content_type?: str | Compressed text, CCR hash, changed, and stats (orig_tokens / new_tokens / saved_tokens / ratio). | | tokenslim_retrieve | hash: str | { found, hash, content } — the original blob, or found: false if unknown to this session. | | tokenslim_stats | — | Cumulative session savings: compressions, orig_tokens, new_tokens, saved_tokens, ratio. |

content_type is an advisory hint echoed back; the core auto-detects the real type (JSON / log / code / diff / search / markdown / text) and picks a compressor.

Install & register

pip install -e .   # pulls the tokenslim core via git

Register as a stdio MCP server. Example (Claude Code mcpServers):

{
  "mcpServers": {
    "tokenslim": { "command": "tokenslim-mcp" }
  }
}

or run directly: tokenslim-mcp / python -m tokenslim_mcp.

How it works

Each tokenslim_compress call wraps the blob as a one-message array, runs it through the core compress() (with min_bytes=0 so single blobs always get compressed), and returns the rewritten text plus token stats. The original is stored under its tokenslim.ccr.content_hash so tokenslim_retrieve can return it verbatim. tokenslim_stats reports the running total.

Development

pip install -e ".[dev]"
ruff check .
python -m pytest -q

Tests call the tool handlers directly and exercise the FastMCP dispatch — no live MCP host or API keys required.

Known gaps

  • Retrieval store is in-process. The core ships CCR markers + content_hash

but not yet a retrieve() / persistent store on main, so retrieval is backed by a per-session dict populated by tokenslim_compress. Hashes already use the core's content_hash, so this will switch to the core CCR store once merged (TODO(core-ccr) in engine.py). A hash from a previous process (or another server instance) will report found: false.

  • Compression depth is whatever the core provides; this server adds no

algorithms of its own.

License

Apache-2.0

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