I will build mcp servers and agentic ai workflows with langgraph


About this gig
Want your AI to actually do things, not just chat? I build MCP (Model Context Protocol) servers and agentic AI workflows that let models like Claude and GPT safely use your databases, APIs and internal tools.
I'm a Python and AI engineer with 4+ years of experience. I currently build and maintain an MCP data layer with 30+ parameterized tools that powers an AI real estate assistant, including grounding and validation to cut down wrong answers.
What I can build for you:
- Custom MCP servers that expose your data and APIs as tools
- Agentic workflows and multi-agent systems with LangGraph and LangChain
- AI agents that plan, call tools and take actions
- RAG with vector databases (Pinecone, FAISS, Weaviate)
- Tracing, cost tracking and evals with Langfuse
- FastAPI backend, chat UI and deployment on AWS or GCP
Why work with me:
- Production experience with MCP, not just tutorials
- Secure, tested and well-documented code
- Clear updates and support after delivery
Please message me before ordering so we can map out your tools and workflow.
Get to know Muhammad Usman
Full Stack Python and AI Engineer, MCP, Agentic AI and RAG
- FromPakistan
- Member sinceNov 2021
- Avg. response time1 hour
Languages
English
My Portfolio
FAQ
What is an MCP server and why do I need one?
MCP (Model Context Protocol) is a standard way to connect AI models like Claude or GPT to your tools and data. An MCP server lets the AI read your database, call your APIs or run actions safely.
Which AI models and frameworks do you use?
Claude, OpenAI GPT and Gemini, with LangGraph, LangChain and the official MCP SDKs. I pick the best fit for your budget and use case.
Is my data safe?
Yes. Tools get only the access they need, secrets stay in environment configs, and I can add read-only modes, validation and logging so you can see every action the agent takes.
