Refract

Refract

MCP proxy that compresses tool schemas on the fly. Up to 98% token reduction, 100% signal preserved verified after every compression. Zero LLM calls, fully deterministic.

Category
Visit Server

README

<p align="center"> <img src="assets/logo.png" alt="Refract" width="360"> </p>

Refract

Cuts up to 97% of the tokens your AI agents spend using MCP tools — without losing anything.


The problem in one sentence

When your AI agent (Claude, Cursor...) connects to an external tool — your calendar, your emails, GitHub — it downloads the full description of every available tool, every single time, even if it only ends up using one.

It's like asking someone to read the entire store catalogue just to buy bread.

Refract fixes that. It sits between your agent and the tool server, and only lets through what's actually needed.


What it actually changes

Without Refract With Refract
Filesystem tools (14 tools) 1,892 tokens 236 tokens (−88%)
Google Calendar tools (5 tools) 5,010 tokens 660 tokens (−87%)
Enterprise pack — Calendar + Gmail + Drive (12 tools) 8,649 tokens 882 tokens (−90%)

Fewer tokens sent = lower API bills, faster responses.

And nothing is lost. Every check confirmed tools stay 100% usable after compression and no required information is ever stripped.


Install

pip install refract-mcp

That's it. No API key required, no account needed.


How to use it

With Claude Desktop

Open your Claude Desktop config file and add:

{
  "mcpServers": {
    "my-tool-via-refract": {
      "command": "refract-proxy",
      "args": [
        "--target",
        "npx @modelcontextprotocol/server-filesystem /path/to/folder",
        "--verbose"
      ]
    }
  }
}

Replace the --target line with any MCP server you already use. Restart Claude Desktop and that's it, Refract runs in the background.

You may have this message when launching Claude Desktop :"Failed to spawn process: No such file or directory" in Claude Desktop

This usually means Claude Desktop can't find refract-proxy in its PATH. Find the absolute path and use it directly in your config:

which refract-proxy

Then use the full path in claude_desktop_config.json:

{
  "mcpServers": {
    "my-tool-via-refract": {
      "command": "/full/path/to/refract-proxy",
      "args": [
        "--target",
        "npx @modelcontextprotocol/server-filesystem /path/to/folder",
        "--verbose"
      ]
    }
  }
}

From the command line

refract-proxy --target "npx @modelcontextprotocol/server-filesystem /tmp" --verbose

The --verbose flag shows live savings:

[Refract] Connected to npx @modelcontextprotocol/server-filesystem /tmp
  14 tools  |  1892 → 236 tokens  (88% reduction)

How it works, no jargon

Refract optimizes information retrieval by sending an agent a simple index of tool names instead of a massive summary of all available data. Once the required tool is identified, the system delivers only the necessary full details and automatically verifies that no important content was lost during the compression. Operating completely without artificial intelligence, this streamlined process is entirely automated, fast, and predictable.


Works with

  • Claude Desktop
  • Cursor
  • Any client that follows the MCP (Model Context Protocol) standard
  • Any existing MCP server — your internal tools, GitHub, Google Workspace, Slack, etc.

For developers

Python usage

from refract_proxy import RefractProxy

proxy = RefractProxy(
    target_url="npx @modelcontextprotocol/server-filesystem /tmp",
    verbose=True,
)
await proxy.connect()

# Use compressed tools directly with the Anthropic API
tools = proxy.as_anthropic_tools(use_cache=True)

# Or serve as a local MCP server (stdio)
await proxy.serve()

# Or expose it via HTTP/SSE
await proxy.serve_http()  # → http://localhost:8080/sse

HTTP/SSE mode

refract-proxy --target "https://my-mcp-server.com" --mode http --port 8080

With a local schema file (for testing)

refract-proxy --target schemas/mcp_calendar_schemas.json --verbose

Built-in Anthropic caching

Refract integrates with Anthropic prompt caching: as_anthropic_tools() automatically marks the compressed catalogue as cacheable, cutting costs even further on repeated requests.

Example over 30 days, 100 requests/day, 5,000 tokens of schemas:

Cost
Without Refract, without cache $45.00
With Refract + cache $1.49

License

MIT — free to use, including commercially. ENDOFREADME

cd ~/MCP-repo git add README.md git commit -m "Force English README" git push origin main

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured