nowfound

AI · April 23, 2025

I built a No Code Dockerized MCP Server for any API - AI Agent

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

I built a No Code Dockerized MCP Server for any API - AI Agent launched on April 23, 2025 with 7 votes and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.

What it does

Dockerized MCP Server to allow your AI agent to access any API with existing api docs - ckanthony/openapi-mcp

Generate MCP tool definitions directly from a Swagger/OpenAPI specification file. OpenAPI-MCP is a dockerized MCP server that reads a swagger.json or openapi.yaml file and generates a corresponding Model Context Protocol (MCP) toolset. This allows MCP-compatible clients like Cursor to interact with APIs described by standard OpenAPI specifications. Now you can enable your AI agent to access any API by simply providing its OpenAPI/Swagger specification - no additional coding required. Alternatively, you can use the pre-built image available on Docker Hub . docker pull ckanthony/openapi-mcp:latest Run the Container: Follow the docker run examples above, but replace openapi-mcp:latest with…from github.com

Does a similar job

all alternatives →
  • SpecToMCP2025 · spectomcp.updab.com · ▲19

    Generate MCP servers from OpenAPI specification files

  • MG
    MCP Generator for Your API2025 · mcp.liblab.com · ▲17

    Hey HN, Sagiv from liblab is here. We've been deep in the world of API tooling for years at liblab, primarily focusing on generating SDKs and documentation from OpenAPI specs. Recently, we kept running into a recurring frustration: connecting AI tools to existing APIs is way more complex than it should be. You start with a simple goal – let an LLM talk to your API – and suddenly you're neck-deep in spinning up infrastructure, wrestling with authentication, and writing a ton of custom glue code just to translate natural language into structured API calls. Then you have to maintain it all. To…

  • MCP Builder2025 · mcp.ag2.ai · ▲115

    Instantly create & deploy MCP servers from any API spec

  • MCP Bridge by AppfactorMay 2026 · mcp-bridge.ai · ▲211

    Connect any API to any AI agent

  • No-Code MCP GeneratorFeb 2026 · no-code-mcp-generator.vercel.app · ▲3

    Turn any OpenAPI into an AI Agent Server in seconds.

  • Mcp-Agent – Build effective agents with Model Context Protocol2025 · github.com · ▲80

    Hey HN, I spent my xmas break building an agent framework called mcp-agent [1](https://github.com/lastmile-ai/mcp-agent) for Model Context Protocol [2]. It makes it easy to build AI apps with MCP servers, and implements every pattern from the popular Building Effective Agents blog [3] as well as OpenAI’s Swarm [4]. I’m sharing it early to get community feedback on where to take it from here, and to ask for contributions. For those who aren’t familiar with MCP, I think of it as a standardized interface to let AI communicate with software via tool calls, resources and…

More ai this month

the category →
  • Video model that turns script into viral social media videos

    AI · 17d ago · spira.ai

  • The browser where Claude Code and Codex work beside you

    AI · 16d ago · rill.love

  • Kolibri is Aleph Alpha

    AI · 18d ago · tej.as

  • Paintings by AI models: programs run through a simulation of oil paint.

    AI · 20d ago · stillwet.art

  • Onepin▲384

    AI voiceover with every name, price and date said right

    AI · 30d ago · onepin.ai

  • A real-time world model you can explore and change

    AI · 28d ago · world.pixverse.video

Source: Show HN post ↗

Launched alongside, April 2025

the whole month →
  • Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…

    Dev tools · 2025 · runpyxl.com

  • The Unsure Calculator is an online tool that lets you calculate with numbers you’re not sure about.

    Life & fun · 2025 · filiph.github.io

  • https://the-pocket.github.io/Tutorial-Codebase-Knowledge/

    AI · 2025 · github.com

  • Whatting▲898

    The iPad diary, just for you

    Work · 2025 · whatting.com

  • Browser with AI companions that automate web tasks

    AI · 2025 · strawberrybrowser.com

  • Peek▲828

    AI personal finance coach that guides you through decisions

    Work · 2025 · peek.money