API to MCP

Turn any API into an MCP server for AI agents

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The forkable snapshot idea is the part I would want to test first.

Turning an API into MCP is useful, but the hard production question is usually: can I freeze the tool contract that an agent saw, review it, and then safely promote it to a live credentialed server?

For a first useful workflow, I would look for:

• import an OpenAPI or GraphQL spec

• - generate a small MCP tool set

• - run one real read-only call

• - inspect the exact schema and mapped response the agent receives

• - fork a snapshot before adding write actions or user OAuth

• - diff the live server against the snapshot after API docs change

That kind of review trail would make API-to-agent wiring much easier to trust, especially for internal business APIs where a wrong write action is worse than no automation.

Definitely adds a lot of value. How do you handle auth scopes when different agents should get different tool access, like read-only CRM vs write/update access?

This solves a real headache. Setting up MCP servers from scratch for every API is tedious, so being able to just point it at a REST or GraphQL API and have it generate the server automatically is a big time saver. Does it handle authentication flows like OAuth or API keys automatically too, or is that something you configure manually?

Can you pin a snapshot version for an agent so updates don’t change behavior mid workflow?

This is a really amazing use case. Can it support internal microservices spec like grpc?

The live vs forked MCP split is the right product question. I’d be curious how you want teams to carry policy with the fork: allowed actions, credential scope, approval rules, and a receipt after a write. Otherwise the fork solves setup, but production teams still have to prove what an agent changed.

One API for the whole WhatsApp Business stack, calls included, is exactly what I wished existed last time I built on WhatsApp. The hosted MCP server is a great touch for agents. Congrats on the launch!

Wrapping heterogeneous APIs behind a unified MCP layer is a smart abstraction. The hardest part isn't the HTTP adapter. It's auth propagation across OAuth, API keys, and custom schemes without leaking secrets into agent contexts. We've hit this friction proxying third-party integrations in multi-tenant setups. How do you handle token refresh when an OAuth TTL expires mid agent tool call?

This solves a real bottleneck: business systems already have APIs, but agents need a safer execution layer. Curious how you handle permission boundaries. Can an MCP server expose different actions by role, for example read-only CRM access for one agent and write/update access for another?

Hey! 👋

Congrats on the launch of API to MCP! 🚀

I really like how you're helping developers bridge existing APIs into the MCP ecosystem. With AI agents becoming more capable, reducing the friction between APIs and MCP tools feels incredibly timely and useful.

We're also launching Blazly Backlinker today, helping marketers automate backlink discovery, outreach, and guest posting from a single workflow.

Would love to hear your thoughts if you get a chance to check us out as well. Wishing you a fantastic launch day! 🎉

Congrats on the launch! 🎉 I gave API To MCP a try and was genuinely impressed. Setup was surprisingly simple, everything worked smoothly out of the box, and the overall experience was very polished. Turning APIs into MCP servers has never felt this easy. Great work to the whole team and wishing you a successful launch! 🚀

The forkable snapshots idea feels useful. Teams may want to try a live MCP quickly, but still need control over credentials, auth, and mappings before using it seriously.