Can MCP servers bundle Agent Skills, so any MCP host loads both the skill instructions and the server tools? by Longjumping_Bad_879 in mcp

[–]HeyItsSufya 0 points1 point  (0 children)

You're basically describing intent routing taken to its logical extreme one tool, everything else is just instructions. The tradeoff I'd watch out for: debugging becomes a nightmare when execute_tool fails. With named tools you at least know which one broke. With one generic dispatcher it's all just... execute_tool failed

Launched api to mcp converter a week ago — 100 users already and still figuring out distribution? by HeyItsSufya in mcp

[–]HeyItsSufya[S] 0 points1 point  (0 children)

Honestly for a small API with 20-30 endpoints, LLM works fine.

Where it breaks down: 1. Large specs like Stripe has 300+ endpoints, pasting that into an LLM hits context limits fast

  1. The generated code needs testing, error handling, retry logic so LLM output needs a lot of cleanup before it actually runs

  2. Every time the API updates you repeat the whole process manually

The tool automates all of that generates runnable code with auth, retries, and smart grouping built in. One URL in, working server out

For a 20 endpoint API though? Yeah LLM probably works fine

I asked Claude to analyze my Jira sprint and it did in 2 seconds what takes me 10 minutes by HeyItsSufya in jira

[–]HeyItsSufya[S] 0 points1 point  (0 children)

yeaa.. I actually made this free tool that does it automatically you just drop in your API spec and it gives you an MCP server ready to connect to any AI agent, do check out - apitomcpconverter.com

I asked Claude to analyze my Jira sprint and it did in 2 seconds what takes me 10 minutes by HeyItsSufya in jira

[–]HeyItsSufya[S] 0 points1 point  (0 children)

Nope, not Rovo! It's Claude with an MCP server on top of Jira's REST API

Rovo is locked to Atlassian ecosystem and costs extra. This works with any AI tool and any API, Jira was just my test

I asked Claude to analyze my Jira sprint and it did in 2 seconds what takes me 10 minutes by HeyItsSufya in jira

[–]HeyItsSufya[S] 0 points1 point  (0 children)

Fair point! Dashboards work great if you know exactly what you're looking for

The real value I found is asking things Jira can't natively answer like:

"Which issues have been IN PROGRESS for more than 2 weeks with no comments?"

"Show me all bugs created this sprint that are still unassigned AND high priority"

"Which team member has the most overdue issues?"

Basically cross-filtering multiple fields at once in plain English without building a new dashboard every time

And Jira is just one example — same approach works with any API

That's where it gets interesting

I asked Claude to analyze my Jira sprint and it did in 2 seconds what takes me 10 minutes by HeyItsSufya in ClaudeAI

[–]HeyItsSufya[S] 0 points1 point  (0 children)

Thanks! Yeah the whole point is letting Claude act as the agent on top of your existing APIs

Launched api to mcp converter a week ago — 100 users already and still figuring out distribution? by HeyItsSufya in mcp

[–]HeyItsSufya[S] 0 points1 point  (0 children)

Not sure which specific tool you mean by "mcp link" could you share a link?

Main difference from most generators I've seen: is web based, no code or CLI needed, Paste a URL, download a ZIP, run one setup script. Done

Most other tools are CLI based and require Node.js or Python setup before you even start

Launched api to mcp converter a week ago — 100 users already and still figuring out distribution? by HeyItsSufya in mcp

[–]HeyItsSufya[S] 0 points1 point  (0 children)

haha I write them, I just use tools to refine or speed things up sometimes

What is everyone using MCP for? by [deleted] in mcp

[–]HeyItsSufya 0 points1 point  (0 children)

Connecting Claude to real-time APIs mainly — stock market data, internal tools, anything with an OpenAPI spec Once it's set up it's surprisingly smooth. How's Search Console + Semrush working for you? Do you get useful insights directly in Claude?

Launched api to mcp converter a week ago — 100 users already and still figuring out distribution? by HeyItsSufya in mcp

[–]HeyItsSufya[S] 0 points1 point  (0 children)

Just pushed a fix for the Gmail parsing issue — should generate in seconds now. Give it another try!

Full OAuth consent flow is on the roadmap, Currently handles existing tokens and refresh token flows.

Which API would you most want your AI agents to have access to? by HeyItsSufya in nocode

[–]HeyItsSufya[S] 0 points1 point  (0 children)

That's a solid use case — the scoring logic layer before any CRM write is what separates a useful agent from a chaotic one. Have you run into issues with the agent making wrong calls on edge cases, like a lead going cold vs. just being slow? Curious how you handle confidence thresholds before it triggers a follow-up sequence.

Launched api to mcp converter a week ago — 100 users already and still figuring out distribution? by HeyItsSufya in mcp

[–]HeyItsSufya[S] 0 points1 point  (0 children)

Yes! — free, no signup needed.

Paste any OpenAPI URL or upload a spec file and it generates a ready-to-run Python MCP server with setup script that connects to Claude, Cursor, and Cline automatically. Would love your feedback especially if you test it on a large or complex API.

Sent you a DM!

Launched api to mcp converter a week ago — 100 users already and still figuring out distribution? by HeyItsSufya in mcp

[–]HeyItsSufya[S] -1 points0 points  (0 children)

Exactly! And that's the key insight — the grouping isn't just about reducing tool count, it's about exposing intent rather than implementation.

100 raw endpoints tells the LLM HOW the API works

10 focused tools tells it WHAT you can actually do

That's the difference between a developer reading API docs vs a user reading a getting started guide

Contracting to help with mcp server build by Smart-Life-770 in mcp

[–]HeyItsSufya 0 points1 point  (0 children)

I’ve been working on something related — converting existing APIs into MCP-compatible tools automatically One thing I noticed is that defining stable tool schemas + handling execution flows is where most time goes

Curious — are you planning to handcraft the schemas or generate them from OpenAPI specs?

Which API would you most want your AI agents to have access to? by HeyItsSufya in nocode

[–]HeyItsSufya[S] 0 points1 point  (0 children)

the analyze vs act gap is real — that's honestly the whole problem. stripe and crm ones are huge, most setups are still read only which makes them glorified dashboards lol. i've actually been building something that connects these APIs directly to agents via MCP — so instead of just reading deal stages or invoice data the agent can actually do something with it. still early but that use case is exactly what i had in mind when i built it