Alternatives
Products that do what GetKeri does
Turn any OpenAPI into an MCP server agents can actually use
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Give AI agents access to real-time data across 200+ apps
May 2026 · apideck.com
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2025 · npmjs.com
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Most of the MCP servers that I’ve seen are tools implemented in standalone projects. To onboard more tools (especially agents and multi-agent workflows) to MCP, I’ve been thinking it’s important to allow AI engineers to continue to prototype in their existing agent frameworks and deploy with minimal conversion when ready. We created the automcp library, which you can add as a dependency to existing projects (CrewAI, LangGraph, Llama Index, OpenAI Agents SDK, Pydantic AI, mcp-agent currently supported but more coming soon). You just need to run a CLI command to create a run_mcp.py file, make…
2025 · github.com
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Hi HN, we are excited to show you Klavis AI. It is an open source project and we provide hosted versions with API access as well. (Website: https://www.klavis.ai/, Github repo: https://github.com/Klavis-AI/klavis) We're addressing a couple of key problems with using MCPs. First, many available MCP servers lack native or used-based authentications, creating security vulnerabilities and adding complexity during development. Second, many MCP servers are personal projects, not designed for the reliability needed in production. Connecting to these servers…
2025 · github.com
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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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The most performant Ads MCP available to use with Your AI
Mar 2026 · syntermedia.ai
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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
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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
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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
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