API to MCP
Turn any API into an MCP server for AI agents
339 followers
Turn any API into an MCP server for AI agents
339 followers
API To MCP turns REST, GraphQL, SaaS, and internal business APIs into hosted MCP servers that AI agents can use in minutes. Build visually from the dashboard, or let an AI agent create, test, and deploy tools from API docs. End users can connect live MCP servers to ChatGPT, Claude, Codex, Cursor, VS Code, Antigravity, or custom agents with OAuth, secure auth, workflows, and forkable snapshots.
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?
Swytchcode
This is a really amazing use case. Can it support internal microservices spec like grpc?
Congrats on the launch! Tried API To MCP on a couple of automation projects and it's been really smooth — turning an API into an MCP server without the usual custom engineering overhead is a huge time-saver. Great work!
Blazly Backlinker
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! 🎉
API to MCP
@srijita_b Hey, thank you so much! Really appreciate the kind words.
I agree, the timing feels important. AI agents are getting much better, but the bridge between existing APIs, business data, and usable agent tools still has a lot of friction. That’s exactly what API To MCP is trying to reduce.
Congrats on launching Blazly Backlinker as well. Backlink discovery and outreach is definitely a painful workflow for marketers, so I like the direction. I’ll check it out, and wishing you a strong launch day too!
RADAAR
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! 🚀
API to MCP
@favger Thank you so much. Really appreciate you taking the time to try it.
Curious: did you use the UI Wizard, or did you try building through an AI agent like ChatGPT, Codex, or Cursor?
The AI agent workflow is where it gets surprisingly powerful. For straightforward APIs, once the agent understands the API docs, it can create, test, and deploy MCP servers very quickly. Depending on API complexity, creating dozens of MCP servers, even around 50 simple ones in a focused workday, becomes realistic.
Still early, so feedback like this means a lot. If you run into anything confusing or have ideas for APIs/workflows you’d like to see supported better, I’d love to hear them.
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!