toolmenu MCP
Inspect an MCP server’s tool list and catch schema or description changes before release.
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
7 servers
Inspect an MCP server’s tool list and catch schema or description changes before release.
Repair common malformed JSON in model output through a deterministic local MCP server.
Give an agent a shared workspace for webhooks, test resources and requests that need a person’s approval.
Compress lengthy logs and other large text inputs before they enter a coding assistant’s working context.
Look up Manifold-BT backtesting documentation while writing a strategy in an MCP client.
Resolve npm versions, inspect package files and validate browser import maps through UNPKG.
Connect an assistant to a store REST API for inventory, orders and sales, with gated write tools.
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.