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Fastapi MCP Servers
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Fastapi MCP Servers

An MCP server project based on FastAPI, including Qdrant vector database integration and OpenWebUI client support
Artificial intelligence chatbotsDeveloper tools#FastAPI#MCP service#Vector database#WebUI.Python
2.5 points
8.7K
Open Site

Overview

Content Details

Alternatives

What is FastAPI MCP Servers?

This is an MCP server implementation built using the FastAPI framework, specifically designed to manage and process the model context protocol. It supports integration with the Qdrant vector database and can provide a user - friendly interface through Open WebUI.

How to use FastAPI MCP Servers?

You can quickly start the service using simple Docker commands and the uvicorn server, and then interact with it using the MCP client or Open WebUI.

Applicable scenarios

Suitable for scenarios that require managing large - language model contexts, building AI application backends, or implementing complex dialogue systems.

Main features

FastAPI backend
Built using the high - performance FastAPI framework, providing fast response and good scalability.
Qdrant integration
Supports integration with the Qdrant vector database, facilitating the storage and retrieval of vector data.
Open WebUI support
Can be seamlessly integrated with Open WebUI, providing a user - friendly interface.
SSE support
Supports the Server - Sent Events (SSE) protocol, enabling real - time data push.
Advantages
Built on FastAPI, with excellent performance
Supports Docker containerized deployment, facilitating expansion
Provides multiple client connection methods
Integrated with Open WebUI, with a good user experience
Limitations
Requires certain technical knowledge for initial configuration
Depends on external services such as Qdrant
Documentation may not be comprehensive enough

How to use

Clone the code repository
First, you need to clone the project code to your local machine
Install dependencies
Use the uv tool to install the dependencies required for the project
Start the Qdrant service
Use Docker to start the Qdrant vector database
Run the FastAPI application
Use uvicorn to run the FastAPI application
Start Open WebUI
Optional step, start the Open WebUI interface

Usage examples

Set up a local development environment
Set up a complete development environment on a local computer, including the FastAPI backend, Qdrant database, and Open WebUI interface.
Deploy in a production environment
Use Docker to deploy a complete MCP service stack in a production environment.

Frequently Asked Questions

How to modify the service port?
What if Open WebUI cannot connect to the MCP server?
How to add support for a new model?

Related resources

FastAPI official documentation
Official documentation for the FastAPI framework
Qdrant official documentation
Official documentation for the Qdrant vector database
Open WebUI documentation
Official documentation for Open WebUI
GitHub repository
Project source code repository

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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