fastapi_mcp
awesome-mcp-servers
| fastapi_mcp | awesome-mcp-servers | |
|---|---|---|
| 14 | 12 | |
| 11,279 | 3,115 | |
| 3.2% | 6.2% | |
| 9.2 | 9.7 | |
| 29 days ago | 6 days ago | |
| Python | ||
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
fastapi_mcp
- The current MCP ecosystem for enterprises
FastAPI MCP - Expose your FastAPI endpoints as MCP tools with auth. 🆓 🔑
- 🚀 What We Learned Building FastAPI-MCP
A few months ago, we released FastAPI-MCP, an open-source library that converts FastAPI apps into MCP servers with zero configuration. We focused on making it easy and intuitive and the response was incredible - developers loved how easy it made MCP integration.
- Implementing Nova Act MCP Server on ECS Fargate
FastAPI-MCP Documentation
- Introducing FastAPI MCP: Effortless AI Integration for Your FastAPI APIs
Today, let's dive into an exceptionally practical tool—FastAPI MCP. If you're building APIs with FastAPI and want your endpoints to be directly accessible to AI models (like GPT, Claude, etc.), this guide is for you.
- The Very First MCP Generator to Support Auth!
All of this is possible through using FastAPI-MCP, a tool to convert any FastAPI to MCP server in python using 2 lines of code, starred by 3.5K GitHub users in less than a month!
- Three tools convert APIs to MCP
1、fastapi_mcp, open source, a simple way to convert:https://github.com/tadata-org/fastapi_mcp
2、Higress, open source, with a practical MCP market, powered by AI gateway:https://mcp.higress.ai/
3、RapidMPC: SaaS, no code, Unlimited MCP Servers, $12/month:https://rapid-mcp.com/
- VSCode + MCP: Chat with Your API using GitHub Copilot
Check out the FastAPI MCP GitHub repository for more details.
- Show HN: FastAPI-MCP to expose FastAPI endpoints as MCP tools
- 🔥 Only 2 Lines of code to create an MCP server from a FastAPI - Major updates 🚀
Just released a huge update to FastAPI-MCP, our zero-configuration tool that lets you expose FastAPI endpoints as Model Context Protocol (MCP) tools with a completely revamped architecture! Only 2 lines of code and you have a configurable and reliable MCP server!
- An automatic MCP server for every GitHub project
For those unfamiliar, this is similar to taking a codebase and processing it with a tool like gitingest, which transforms the entire repository into a format suitable for LLMs, eabling contextual convos and queries about the code. The additional component here is the integration of the MCP protocol, allowing any compliant model to interact with the provided MCP server and dynamically query the codebase to answer questions in real time.
Not sold on MCP being the right paradigm (we'll see), but had a lot of fun building an MCP server recently using https://github.com/tadata-org/fastapi_mcp to quickly get up and running and be able to call to it from Cursor.
awesome-mcp-servers
- Experimenting with Gemini, MCP, Agentic AI and Android
- The current MCP ecosystem for enterprises
Awesome MCP Servers - Curated list of MCP servers, tools, and related resources. 🆓
- Master MCP integration: Building AI database tools with .NET
Check out the complete collection of MCP servers at mcpservers.org, especially the Database category for more data integration options!
- Give your AI agent superpowers with MCP
There are already many useful MCP servers available, ranging from weather services and file system tools to integrations with YouTube or Spotify. You can explore curated lists of these servers here or here.
- Give your LLM Vibe Coding Superpowers using .Net 10
It is an exciting time to live in when it comes to generative AI. Long gone are the days when an LLM is merely capable of generating responses based on the data they are trained on. Nowadays they are capable of doing much more by giving them the proper tools for example. Initiatives like the Model Context Protocol (MCP) are driving a new era and MCP servers are popping up everywhere.
- Create a feature flag in your IDE in 5 minutes with LaunchDarkly’s MCP server
A list of awesome MCP servers
- ➡️ AI gives you ✅ 𝐓𝐈𝐌𝐄 not ❌𝐂𝐎𝐍𝐅𝐈𝐃𝐄𝐍𝐂𝐄 : Developer productivity toolkit
There are several places where we can get MCP servers for specific tasks and with a very easy installation process : https://mcpservers.org/ , https://mcpmarket.com/, https://mcp.so/ , etc.
- Directory of MCP Servers
- MCP Server for Ghidra
I've noticed a lot of websites popping up recently which is basically just a list of MCP servers. Some examples:
- https://mcpservers.org/
- Model Context Protocol (MCP): The USB-C for AI Applications
MCP Servers Directory
What are some alternatives?
mcp - AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.
radare2-mcp - MCP stdio server for radare2
openapi-mcp-generator - A Python tool that automatically converts OpenAPI(Swagger, ETAPI) compatible specifications into fully functional Model Context Protocol (MCP) servers. Generates Docker-ready implementations with support for SSE/IO communication protocols, authentication, and comprehensive error handling. https://pypi.org/project/openapi-mcp-generator/
mcpso - directory for Awesome MCP Servers
context7 - Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
solace-agent-mesh - An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.