I will build an mcp server for claude code, cursor and your ai agents


About this gig
I build custom MCP servers that connect Claude, Claude Code, Cursor and your own AI agents to the systems you actually run.
Model Context Protocol is how an AI assistant stops guessing and starts using your stack: query your database, call your API, read your files, trigger your workflows.
WHAT YOU GET
A working MCP server in Python or TypeScript
Tools mapped to YOUR endpoints, database or files. Not a template.
Auth done properly: API keys, OAuth, scoped tokens
Ready-to-paste config for Claude Desktop, Claude Code, Cursor or your own client
Clean source code you fully own, plus a README a teammate can follow
A screen recording of your MCP server running
COMMON MCP SERVER BUILDS
Internal REST API to agent tools | Postgres or MySQL read layer | Google Sheets | Notion, Jira, Slack | reporting and scraping tools | hardware control
WHY ME
I am a robotics software engineer. My day job is Python that talks to industrial machines over unforgiving protocols, with pytest and mypy in CI. Your REST API will not be the hard part.
Message me what your agent should do and I will tell you honestly whether MCP is the right tool.
Get to know Ohidur
AI and Automation Engineer, MCP, RAG, Claude Training
- FromBangladesh
- Member sinceJan 2020
- Last delivery2 years
Languages
English, Bengali
Other AI Development Services I Offer
FAQ
What exactly is an MCP server and do I need one?
It is a small program that exposes your systems to an AI client as callable tools. You need one if you want Claude or Cursor to read live data or take actions in your stack, rather than working from whatever you paste into the chat. If a simple API key in a prompt would do, I will say so.
Which AI clients will this work with?
Anything that speaks MCP: Claude Desktop, Claude Code, Cursor, VS Code extensions, and custom agents built on the OpenAI or Anthropic SDKs. I deliver the config file for the client you name, and the server itself is client-agnostic.
Do I have to give you production credentials?
No, and please do not. I build against a sandbox, a read-only key, or a mock of your API, then hand you the code to point at production yourself. If you want me to deploy it, use a scoped key you can revoke.
What do you need from me to start?
API docs or an OpenAPI spec (or a description of the database), a plain-English list of what the agent should be able to do, and which AI client you use. That is enough for me to scope it.
Can you add more tools later?
Yes. Send me a message and I will quote a custom offer for a second phase, or we can scope the extra tools into your current order before I start.
Will this keep working when the MCP spec changes?
I build against the current spec with the official SDK, so upgrades are usually a dependency bump. Premium includes 14 days of support, and the 30-day support extra covers you further out.
