mcp-server

3.2

cloud_platforms databases ai_chatbot

If you are the rightful owner of mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

A minimalistic example to demonstrate how to build and deploy a Model Context Protocol (MCP) server using FastAPI and Chroma DB.

The Simple MCP Server Example provides a straightforward guide to setting up a Model Context Protocol server using FastAPI and ChromaDB. This example is designed to help users quickly deploy an MCP server that can handle context-based queries using OpenAI's embedding functions. The server is built on Python and leverages FastAPI for creating APIs and ChromaDB for managing vector data. The guide includes steps for installation, configuration, and testing, making it accessible for developers looking to integrate MCP capabilities into their applications.

Features

FastAPI Integration: Utilizes FastAPI for creating efficient and fast APIs.
ChromaDB Support: Employs ChromaDB as a lightweight vector database for managing embeddings.
OpenAI Embeddings: Integrates OpenAI's embedding functions for context processing.
Easy Setup: Provides a step-by-step guide for installation and configuration.
Testing and Querying: Includes instructions for testing the server using curl or Postman.

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