Alternatives
Products that do what Open-source project to convert FastAPIs to MCP servers does
I built a zero-configuration tool for automatically exposing FastAPI endpoints as Model Context Protocol (MCP) tools, open to collabs and contributions!
- 1

- 2

- 3FM
I built FastAPI-MCP as an open-source library, and recently had to completely refactor it, abandoning FastMCP wrappers in favor of the low-level MCP SDK. The new version gives more control over which endpoints are exposed, supports complex request bodies, and allows flexible routing options. I wrote about the technical journey and lessons learned here: https://medium.com/@miki_45906/advanced-mcps-in-python-how-t... Looking for feedback and contributors who are interested in MCPs!
2025 · github.com
- 4

- 5

- 6FA
Hi HN -- Since Anthropic announced the Model Context Protocol (MCP) last week [1], I've been excited about giving Claude new capabilities through my custom servers. But while MCP is powerful, implementing the protocol correctly requires a lot of low-level boilerplate code. I found myself wanting something like FastAPI - a high-level framework that would let me focus on building features, not servers. After some hacking, I'm sharing FastMCP: a Pythonic framework for building MCP servers. FastMCP uses decorators to transform normal functions into MCP tools, resources, templates, and prompts,…
2024 · github.com
- 7CD
Hey folks, I've been building AI agents that need to talk to various APIs, and I got tired of writing custom integrations for every service. So I built the MCP-OpenAPI Server to solve this problem! It's a simple bridge that lets AI agents discover and use our existing OpenAPI endpoints through the Model Context Protocol. No need to write custom code for each service - just point it at the OpenAPI specs, choose which endpoints to expose, and you're good to go. What makes this different from other MCP servers is that it uses SSE transport instead of stdio, making it work well for multi-tenant…
2025 · github.com
- 8

- 9IB
TLDR: OpenAPI-MCP is a Dockerized server that dynamically generates Model Context Protocol (MCP) tool definitions directly from your Swagger/OpenAPI documentation. It allows your AI agent to seamlessly access any API without additional coding, streamlining development and eliminating repetitive manual setup. For more details, code updates-----: GitHub: ckanthony/openapi-mcp Docker Hub: ckanthony/openapi-mcp
2025 · github.com
- 10

- 11CR
Hi HN, I'm Gzuuus, the creator of ContextVM this is my first post here, hope you find it interesting! I started building ContextVM some months ago, this is an open protocol that runs the Model Context Protocol (MCP) over Nostr. In practice, it’s a transport for MCP that lets you expose remote servers without needing a domain, inbound ports, or OAuth, clients, and servers only need an outbound internet connection. The problem I ran into: When deploying a remote MCP server you can feel the pain. You usually need a domain name, a static IP, TLS certificates, port forwarding, and some way to…
Feb 2026
- 12MM
Hey HN! I’m Gui from deco (decocms.com). We’ve been using this tool internally as the foundation for a few customer AI platforms, and today we’re open-sourcing it as MCP Mesh. MCP is quickly becoming the standard for agentic systems, but… once you go past a couple servers it turns into the same problems for every team: - M×N config sprawl (every client wired to every server, each with its own JSON + ports + retries) - Token + tool bloat (dumping tool definitions into every prompt doesn’t scale) - Credentials + blast radius (tokens scattered across clients, hard to audit, hard to revoke) - No…
Dec 2025 · github.com
- 13PA
Hi HN, I'm the author of FastMCP, the most popular Python framework for building MCP servers. I've been really excited about MCP Apps for a while. I think letting a server ship a fully interactive UI directly into the conversation is one of the most compelling additions to the protocol. I wanted to make this a first-class experience in FastMCP, but I kept getting stuck on what it actually means for a Python framework to integrate with a frontend feature. The JavaScript ecosystem has extraordinary tooling for this. I didn't want to build a worse version of it just to stay in Python. What…
Apr 2026 · prefab.prefect.io
- 14AA
2025 · api200.co
- 15MS
Hey, I'm Nick from Nutrient, I want to share our newly released MCP Server that enables document workflows using natural language — things like redacting, merging, signing, converting formats, or extracting data. While many MCP servers have traditionally been developer-focused, we recognized that the technology could be highly effective in promoting the adoption of tools that are often hidden from end-user interfaces. We’re really interested to see if this side of the protocol could continue to mature. One thing we struggled with was the inability to receive documents from the client (no…
2025 · github.com
- 16

- 17

- 18IB
I've been experimenting with ROS (Robot Operating System) and the Model Context Protocol (MCP), and noticed a gap: while there were some MCP servers for ROS, most were limited. They either only supported topic communication or had hard-coded topic names, which severely limited their reusability. To address this, I built a general-purpose MCP server for ROS that allows interaction with ROS topics, services, and actions -making it more flexible and extensible than previous approaches. A key design decision was enabling communication between the MCP server and a local ROS machine by simply…
2025 · github.com
- 19OS
Hello HN, I built this because I wanted to give Claude Desktop access to my Notion workspace without running a flaky local Python script via stdio. This is a Node.js/Express implementation of the Model Context Protocol (MCP) that uses SSE (Server-Sent Events) for transport. It’s designed to be stateless and deployable as a container (I'm hosting it on Apify, but it works anywhere with Node). The Stack: TypeScript + Express @modelcontextprotocol/sdk Zod for input validation Bearer Auth for security (since it exposes an HTTP endpoint) Capabilities: It allows the LLM to search pages,…
Dec 2025 · github.com
- 20MI
2025 · github.com
- 21OP
Hello HN, Pietro here! I've been really excited to see the recent buzz around MCP and all the cool things people are building with it. Though, the fact that you can use it only through desktop apps really seemed wrong and prevented me for trying most examples, so I wrote a simple client, then I wrapped into some class, and I ended up creating a python package that abstracts some of the async uglyness. You need: * one of those MCPconfig JSONs * 6 lines of code and you can have an agent use the MCP tools from python. The structure is simple: an MCP client creates and manages the connection and…
2025 · github.com
- 22XM
Hi HN, I built XRAY MCP after discovering that AI assistants were scanning my projects with plain grep and guessing. I tried direct tree-sitter integration and language servers; both felt heavy for a lightweight tool. ast-grep hit a sweet spot: syntax-aware search in a single binary. XRAY MCP wraps it behind three endpoints—map, find, impact—so a model (or human) can answer questions like “what breaks if I change this function?” on demand. It’s stateless, supports Python/JS/TS/Go, and installs quickly. Repo: https://github.com/srijanshukla18/xray Would love…
2025 · github.com
- 23AM
I’ve been building Canine for about 2 years now, and have slowly grown it to about ~1000 developers using it for deploying all sorts of apps / projects / etc. Amazingly, the whole thing is still able to run on a single 48GB Hetzner VPS. Think of it basically like Coolify, for Kubernetes. I previously posted about it here: https://news.ycombinator.com/item?id=44292103 Recently, we added MCP capabilities to canine, and I was shocked how well it worked. It basically is able to create services, cron jobs, databases, get the logs for these and redeploy. See it here:…
Apr 2026
- 24MA
I’ve been building and using agents heavily lately. The Model Context Protocol ecosystem is growing insanely fast, but discovering and configuring new tools is still highly manual. Every time I needed to connect an agent to a new service, I had to browse registries, figure out the transport type, identify required env vars, and manually update "mcp.json" files. So I built MCPfinder. It aggregates servers from the official MCP registry, Glama, and Smithery (around 25,000 combined entries) into a deduplicated, ranked catalog. But the real twist is the DX: MCPfinder is itself an MCP server :D…
Apr 2026 · mcpfinder.dev
Ranked by how close each launch is in meaning, then by votes. Refine with a description →