Muhammad A.

Want Claude, ChatGPT, or your own AI agent to actually work with your business data — read it, reason over it, and take action in your systems? That's exactly what I build. Most AI projects hit the same wall: the model is smart, but it can't see your data or do anything in your tools. I close that gap. Using the Model Context Protocol (MCP) with Node.js and TypeScript, I turn your existing APIs, databases and workflows into secure tools any MCP-compatible AI client can use — Claude, ChatGPT, Cursor, VS Code and more. Everything I ship is typed, tested and production-ready, not a demo. 𝗪𝗵𝗮𝘁 𝗜 𝗰𝗮𝗻 𝗯𝘂𝗶𝗹𝗱 𝗳𝗼𝗿 𝘆𝗼𝘂: • Custom MCP servers that expose your APIs, databases and workflows as tools, resources and prompts — local (stdio) or remote (Streamable HTTP) • Remote connectors your team adds to Claude, ChatGPT, Cursor and VS Code, with secure OAuth 2.1 sign-in • Integrations with HubSpot, Salesforce, Zoho, Slack, Google Workspace, Notion, Shopify, Stripe, or your own internal systems • Interactive MCP Apps and ChatGPT apps with React UI that renders right inside the chat • AI features in your MERN or Next.js product: streaming chatbots, tool calling, conversation memory and usage tracking • AI agents and multi-step workflows with the OpenAI and Anthropic APIs, LangChain.js, LangGraph.js or the Vercel AI SDK • RAG and semantic search over your documents with MongoDB Atlas Vector Search, Pinecone or pgvector • Audits and fixes for existing MCP servers: authentication, error handling, performance and security 𝗧𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸: MCP: TypeScript SDK · stdio & Streamable HTTP transports · OAuth 2.1 · MCP Inspector AI: OpenAI · Anthropic Claude · Google Gemini · function calling · embeddings · LangChain.js · LangGraph.js · Vercel AI SDK Backend: Node.js · Express · TypeScript · REST · GraphQL · WebSockets Frontend: React · Next.js · Redux Toolkit · Zustand · TanStack Query · Tailwind CSS · shadcn/ui Data: MongoDB · Mongoose · Atlas Vector Search · PostgreSQL · Redis · Pinecone · pgvector Deployment: Docker · AWS · Vercel · Cloudflare Workers · GitHub Actions 𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸: We start by mapping exactly what your AI should read and do — and what it must never touch. I design the tools, schemas and permissions before writing any code, build in clean, typed TypeScript, and test against real clients like Claude Desktop, Cursor and the MCP Inspector. You get a deployed server, clear documentation and a walkthrough so your team can maintain and extend it. 𝗪𝗵𝘆 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝗺𝗲: • Security built in from day one: scoped permissions, input validation, rate limiting and audit logs • Production code, not demos: typed, tested, documented and easy to hand over • I track the MCP spec closely as it evolves, so your integration won't break when AI clients update • Clear communication, regular progress updates and honest timelines Tell me what you want your AI to connect to, and I'll reply with the simplest way to build it, a realistic timeline and an estimate.