I will build an mcp server that connects your API or data to ai agents


About this gig
I maintain an MCP server on npm: @usenami/signer-mcp. Six tools, TypeScript, MIT.
Two of them run without any credentials, so you can install it and watch it talk to a
live backend before you decide anything about me.
That package is not a demo. It drives a production service where signing keys sit inside
an AWS Nitro Enclave, and the code measurement is published on-chain. Building it taught
me the parts of MCP that tutorials skip: auth that survives a restart, errors an agent can
actually act on, and tool descriptions the model reads correctly the first time.
What I build for you:
- an MCP server exposing your API, database or internal service as tools
- schemas written so the model picks the right tool instead of guessing
- auth, rate limits and error handling that behave under a real agent, not a demo script
- setup that works in Claude Desktop, Cursor, Cline and any other MCP client
- a README your team can follow without asking me questions
Send me your API docs or a repo link and tell me what the agent should be able to do.
If MCP is the wrong tool for your case, I will say so before you pay.
Code you can read first: github.com/namixai/signer-mcp
Get to know Alex Semenets
AI Native Builder, agents and automation that run in production
- FromUkraine
- Member sinceMar 2020
- Avg. response time1 hour
Languages
Russian, Ukrainian, English
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FAQ
Can you add this to an MCP server I already have?
Yes. Send the repo. Extending an existing server is usually cheaper than a rebuild.
My server is stdio and I need it reachable remotely. Can you migrate it?
Yes, that is a common ask right now. Scope it with me first, because remote transport changes your auth model and that part matters more than the transport itself.
Do you need access to our production systems?
No. I work against docs, a spec, or a staging environment.
