Michelin MCP
Access structured Michelin restaurant data, including cities, countries, cuisines, awards, and facilities.
Michelin MCP
This is an implementation of the Model Context Protocol (MCP) for the Michelin dataset. It can be integrated with an LLM using the MCP protocol via the SSE deployment at the endpoint https://mcp.michelin.com. The MCP protocol is used to provide a structured way for a model to interact with external APIs.
Tools
getAllCity- Get a list of all cities ordered by the number of restaurants in descending order. Call again with the next offset to get more cities.getAllCountry- Get a list of all countries ordered by the number of restaurants in descending order. Call again with the next offset to get more countries.getAllCuisine- Get a list of all cuisines ordered by the number of restaurants in descending order. Call again with the next offset to get more cuisines.getAllAward- Get a list of all awards ordered by ranking ascending.getAllFacilitiesAndServices- Get a list of all facilities and services ordered by the number of restaurants in descending order. Call again with the next offset to get more facilities and services.getAllRestaurant- Get a list of all restaurants with given filters. Do not provide empty strings or null values as filters. Omit the filter to get all restaurants.
Running in Claude
To run this code in Claude, follow the instructions found here and add the following to the config:
{
"mcpServers": {
"Michelin": {
"command": "npx",
"args": ["supergateway", "--sse", "https://michelin-mcp.deno.dev"]
}
}
}
관련 서버
Fresha
Access the Fresha Data Connector through Snowflake.
Biomart MCP
Interface with Biomart, a biological data query tool, using the pybiomart Python package.
Eka MCP Server
Access medical knowledge-bases and drug information from eka.care. Requires API credentials.
InterSystems IRIS
Interact with and automate InterSystems IRIS databases.
CoinCap
A MCP server that provides real-time cryptocurrency market data through CoinCap's public API without requiring authentication
OrionBelt Analytics
Analyzes relational database schemas (PostgreSQL, Snowflake, and Dremio) and automatically generates comprehensive ontologies in RDF/Turtle format with direct SQL mappings.
Zero-Vector MCP
A high-performance vector database server for AI persona memory management.
TiDB
An MCP server for TiDB, a serverless, distributed SQL database.
ChatQL MCP Server
Query SQL Server databases using natural language with OpenAI GPT models.
MongoDB
Interact with MongoDB databases using natural language to query collections, inspect schemas, and manage data.