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I will build a custom mcp server to connect claude to your API
Talha Hamdees
Informazioni su questo servizio
PRODUCTION-READY MCP SERVERS, IN 3 TO 7 DAYS
MCP is Anthropic's standard for letting Claude, Cursor, and Windsurf use YOUR API directly. One server, every AI client.
I build them production-ready, tested, deployed live.
WHAT YOU GET
- MCP server in Python or TypeScript
- 5-25+ tools wrapping your API
- stdio + Streamable HTTP transports
- OAuth 2.0 / API key auth
- JSON Schema validation
- Tested in Claude Desktop, Cursor, Windsurf
- Deployed (Vercel / Railway / Cloudflare)
- Full source code, yours to keep
- README + setup docs
WHY ME
- Anthropic-certified in MCP and Claude Code
- Daily Claude Code user (Anthropic Max plan)
- Latest 2025-11-25 MCP spec
- Software engineering graduate, COMSATS Islamabad
- Response under 60 minutes
- UTC+5: I ship while you sleep
PERFECT FOR
- SaaS founders going AI-native
- Agencies building Claude or Cursor integrations
- Teams adopting Claude Code
- Anyone with an API AI should use
BEFORE YOU ORDER
Send your OpenAPI spec, docs, or Postman collection. I confirm scope in 60 minutes.
Not sure which tier? Message me first for a free 60-second Loom of what I would build for your API.
Recent work: github.com/talhahamdees
Scopri di più su Talha Hamdees
Talha Hamdees
AI Integration Engineer building MCP Servers and Voice AI Agents
- DaPakistan
- Membro dadic 2020
- Tempo di risposta medio1 ora
Lingue
Urdu, Inglese
AI integration engineer who ships production MCP servers, voice agents, and AI workflows in 3 to 7 days, not 6 weeks.
Stack: MCP servers (2025-11-25 spec), Vapi and Retell voice agents, n8n AI workflows, RAG with LangChain or LlamaIndex, Claude and OpenAI API integrations.
Daily Claude Code user (Anthropic Max plan). Python and TypeScript. OAuth 2.0, Streamable HTTP, JSON Schema validation.
Anthropic-certified in MCP and Claude Code. Software engineering graduate. Working hours bridge Gulf mornings, Europe afternoons, US East evenings. Response under 60 minutes.
Source code always yours.
FAQ
What is MCP and why do I need it?
MCP (Model Context Protocol) is Anthropic's open standard for connecting AI assistants like Claude, Cursor, and Windsurf to external data and tools. If you have an API or database, an MCP server lets AI use it natively, no custom integration code per AI tool. One server works with every AI client.
What languages do you build MCP servers in?
Python (using the official mcp SDK) or TypeScript (using @modelcontextprotocol/sdk). Default is Python for AI and data work, TypeScript for web-stack APIs. Happy to match whichever your team prefers.
Will my source code be mine?
Yes, 100 percent. Source goes to your GitHub repo or zipped if you prefer. I retain no rights to your business logic. Standard reusable helpers like auth handlers and JSON Schema utilities may appear across my projects, which is normal industry practice.
Where will it be deployed?
Your choice. Default for HTTP transport is Vercel (free tier handles most cases). For long-running connections, Railway. Can also deploy to Cloudflare Workers, AWS Lambda, or your own infrastructure if you provide access.
What if my API isn't documented?
No problem. Send Postman collections, curl examples, or even sandbox login access. I'll reverse-engineer the endpoints and produce OpenAPI docs as a deliverable bonus on Standard and Premium tiers.
Do you sign NDAs?
Yes, always. Send your NDA before kickoff and I'll sign within an hour.
What happens if the MCP server does not work after delivery?
Every delivery includes a working demo tested against your use case. If something breaks during the revision window, I fix it free. The Premium tier includes 30-day support; the Extended Support 90-day extra extends this for ongoing fixes.
