Compresses MCP tool discovery and results so agents can access many local servers with less context usage.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
We ran the install command below but it didn't respond within our test window — this can mean a slow first-time install rather than a real problem.
pip install mcptoonNo response to initialize.
This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 22d ago.
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Mcptoon.
The mcptoon MCP server acts as a local decoupling layer for MCP tools. It does not bundle the third-party MCP servers you choose. Instead, you install those servers separately, register their commands or URLs with mcptoon, and let mcptoon expose a consolidated interface for discovery and calls.
By default, agents can read a compact names-only manifest rather than every registered tool schema. This is intended to reduce the context consumed by large MCP tool collections. The project reports a measured reduction from 71,929 to 581 tokens for a 255-tool benchmark, although results depend on the tools and tokenizer in use.
The mcptoon MCP server stores the local server configuration and connects to registered MCP servers when commands are run. mcptoon add registers a server, including stdio commands such as an npm-based server. mcptoon manifest lists available tools in a compact form, and mcptoon call invokes a selected tool with JSON arguments.
The serve command exposes the configured collection as one stdio MCP server. sync supports connecting agent configurations to the shared setup, while quickstart can discover servers already present on the machine, configure them, and list their tools. Output can use JSON, TOON, SLIM, or compact modes; --toon is available for reducing call-result size, and manifest --slim produces a smaller discovery representation.
Install the package with Python and add the servers you want to use:
mcptoon demo --quick provides a local demonstration without requiring an API key or one of the user's MCP servers. mcptoon demo-server provides an 11-tool demonstration server implemented with the Python standard library. The README also documents a Claude Code plugin that installs the CLI and configures the bridge, but the core workflow is available from the terminal.
mcptoon MCP server does not replace or install the MCP servers it manages. Those servers remain separate installations and must be supplied by the user. The project is local, requires no API key, and states that it sends no data to an external service. Benchmark reductions are measured examples rather than a guaranteed result for every tool collection. Removing mcptoon does not remove the separately installed MCP servers.
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