I will build a custom mcp server to connect claude or cursor to your tools


About this gig
The MCP era starts now.
Connect Claude Desktop, Claude Code, or Cursor to your business systems. I build production-grade Model Context Protocol (MCP) servers that turn databases, APIs, or tools into a toolbelt LLMs use natively.
Why this gig is different Most AI setups use fragile function-calling loops. I build scalable infrastructure. Past deployments:
- Multiple sovereign hospitality MCP (Cloudflare Workers)
- 8-LLM-adapter bridge with failover
- SDK-to-MCP chain for legal research
- SMB back-office operator toolbelt
KCC Bridge is a running MCP-over-HTTP server exposing ~100 sovereign seeds from the AI Native Solutions estate as callable tools. Works with Claude Desktop, OpenAI Custom GPTs, n8n, LangChain, AutoGen, CrewAI, and raw curl scripts.
Live demo: https://sjgant80-hub.github.io/kcc-bridge/ (Inspect active tools www.ai-nativesolutions.com)
What you get in every delivery:
- Production-ready MCP server (Node.js/TypeScript)
- Full source code ownership via GitHub
- Claude Desktop + Cursor setup docs
- Live LLM test verification logs
- Clean Markdown documentation
Who this is for:
- Founders building autonomous CRM agents.
- SaaS teams adding scalable AI integrations.
- Consultancies building acti
Get to know Simon G
Founder Ai Native Solutions
- FromUnited Kingdom
- Member sinceMar 2019
Languages
English
My Portfolio
FAQ
What is MCP and why does it matter?
A: Model Context Protocol is the open standard for letting LLMs interact safely with external data sources and tools. Instead of building a brittle, proprietary integration layer for every new model, you build one MCP server and every modern client speaks to it natively.
Will this work with OpenAI/GPT clients?
MCP is natively integrated into Claude Desktop, Claude Code, Cursor, and Continue.dev. While it's an open standard championed by Anthropic, if you need a specific compatibility shim for OpenAI's function-calling schema, let me know in your project brief and I can build a wrapper layer.
Do I need to give you access to my live production environment?
Absolutely not. I build, validate, and test strictly against your public documentation or a sandbox/staging environment you control. Your production credentials stay safe on your machine; I deliver the clean code and tell you exactly how to load your environment variables.

