Alternatives
Products that do what APIFold does
Stop writing MCP boilerplate. Point at a spec, get server.
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Give AI agents access to real-time data across 200+ apps
May 2026 · apideck.com
- 2MA
2022 · github.com
- 3WM
2025 · npmjs.com
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Test MCP servers like a real AI client, not just a ping
May 2026 · openstatus.dev
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Routebase▲106Design, mock, test, and document APIs from one living spec. Full test runner built in: suites, scenarios, ten auth schemes, CLI in CI. No OpenAPI needed.
Jul 2026 · routebase.dev
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- 11MG
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…
2025 · mcp.liblab.com
- 12TA
Hi HN! We built Zalor. It turns an OpenAPI spec into an MCP server, so you can make your APIs callable by Claude or ChatGPT without writing any code. Here's a list of specs you can try: https://github.com/ZalorAI/test-data/tree/main/openapi, but feel free to use your own. For background, MCP is a protocol that standardizes how you connect tools to AI assistants. We're both engineers at large software companies, and when we worked on MCP integrations we saw how long setup took and how often the spec was changing. So we built a platform to handle the MCP…
Dec 2025 · mcp.zalor.ai
- 13OM
Hey Hackernews! In the last few days I've dug up some work I was working on last year but never was able to ship due to perfectionism. But with my new attitude, here it is: I also immediately got it in MCP-form so you can use it in Claude and Cursor as well. Enable Claude / Cursor to know ANY API!! Video and links here: https://x.com/janwilmake/status/1903497808134496583 P.S. Expect bugs. Building in public. I've tested it with a few apis so far, and so far it worked really well as MCP every time. P.P.S. It's all Open source!…
2025 · openapisearch.com
- 14AF
I built an unofficial CLI and MCP server for Lambda cloud GPU instances. The main idea: your AI agents can now spin up and manage Lambda GPUs for you. The MCP server exposes tools to find, launch, and terminate instances. Add it to Claude Code, Cursor, or any agent with one command and you can say things like "launch an H100, ssh in, and run big_job.py" Other features: - Notifications via Slack, Discord, or Telegram when instances are SSH-ready - 1Password support for API keys - Also includes a standalone CLI with the same functionality Written in Rust. MIT licensed. Note: This is an…
Jan 2026 · github.com
- 15OS
Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…
2025
- 16MT
Recently I was trying to use an MCP server to pull data from a service, but hit a limitation: the MCP didn't expose the data I needed, even though the service's REST API supported it. So I wrote a quick CLI wrapper around the API. Worked great, except Claude Code had no structured way to know what my CLI does or how to call it. For `gh` or `curl` the model can learn from the extensive training data, but for a tool I just wrote, it was stabbing in the dark. MCP solves this discovery problem, but it does it by rebuilding tool interaction from scratch: server processes, JSON-RPC transport,…
Feb 2026 · github.com
- 17IB
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
- 18AC
api2ai parses OpenAPI Spec to generate an agent that can make API calls. For context, I recently need to explore a handful of API suites and thought LLMs can help expedite this process. After some digging, I found OpenAPI Specs are perfect fit for function calling. Based on a text prompt, api2ai can select the right endpoint and properly parse request params and make api calls. It also handles authentication, currently it supports basic auth, api keys, and bearer token schemes. The tool has helped me explore and see APIs in action without a deep dive into the docs or using postman. It’s open…
2023 · github.com
- 19IB
Hi! My name is Herve Kom, a computer science student that is interested in learning new things everyday! As one of my graduation project, I have developed a Claude Code -like Coding CLI, but with enhancement for API Testing: - Auto-generate & run tests (unit, e2e, Playwright, CI/CD, etc.) - Say bye-bye to hallucinations with built-in MCP Server to let LLM directly read from API Docs - Adding Agent.md support for better context persistence across your whole codebase - Automatic bug & security scans (logic is kind of basic but works great!) - Vibes, I want it to feel less "enterprise" but…
2025 · github.com
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Stop your coding agent from guessing at datasheets
Jun 2026 · docs.byteask.ai
- 22M1
Got tired of every MCP example being overly verbose, or needing Docker or Mac-only scripts, so I threw together MCP-123. Point it at a tools.py, run `server.run_server(...)`, and the client auto-discovers/calls functions with OpenAI. I hope this is useful to you all.
2025 · github.com
- 23OS
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
- 24CD
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
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