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.
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
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.