How do I install MCP Recipes Server?
Clone the repository, then run `yarn install` to install dependencies.
@degentics-ai
Basic information
A server that exposes tools to query recipes using the Model Context Protocol (MCP).
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
MCP Recipes Server is a tool that exposes methods to query recipes through the Model Context Protocol (MCP). It allows users to search for recipes by name, ingredients, cuisine, or ID. It is intended for developers building MCP‑based applications that need recipe data.
Clone the repository, install dependencies with yarn install, then run the server using yarn dev (development) or yarn build and yarn start (production). The server starts on port 3000 by default; set the PORT environment variable to change it. A client example is provided and can be run with yarn client while the server is running.
PORT environment variableClone the repository, then run `yarn install` to install dependencies.
Use `yarn dev` for development or run `yarn build` followed by `yarn start` for production.
The default port is 3000. You can change it by setting the `PORT` environment variable.
You can query recipes by name, ingredients, cuisine, or ID.
Make sure the server is running, then run `yarn client` in another terminal.
Hindsight: Agent Memory That Learns

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.
A search tool helps dev to solve the naming things problem.
Comments