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.

Related MCP server: PlanckBot

What it actually changes

Fewer tokens sent = lower API bills, faster responses.

And nothing is lost. Every check confirmed tools stay 100% usable after compression — 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 — that's it, Refract runs in the background.

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:

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