I will build ai agents, rag apps with langchain, langgraph and mcp


Level 1
About this gig
Hi! I'm s_flyer, an AI developer specializing in LangChain, LangGraph, and MCP servers to build intelligent, production-ready AI agents and automation systems.
Whether you need a smart chatbot, a multi-agent workflow, or a custom tool-calling AI I build it end-to-end.
What I Build:
- Custom AI Agents memory, tools & decision-making
- MCP Server Integrations connect AI to your APIs & databases
- RAG Systems AI trained on your documents and PDFs
- Multi-Agent Workflows complex LangGraph pipelines
- Smart Chatbots context-aware customer support agents
- LangSmith Monitoring full tracing & observability
Tech Stack:
- AI/LLM: LangChain, LangGraph, LangSmith, OpenAI, Claude, LLaMA
- Backend: Python, FastAPI, Node.js
- Frontend: React.js, Streamlit
- Databases: PostgreSQL, MongoDB, Pinecone, ChromaDB
- Integrations: REST APIs, n8n, Zapier
Who Is This For?
- Startups needing AI-powered customer support
- Businesses wanting agents trained on internal data
- Developers building MCP-compatible tools
Ready to automate your business with AI? Click Continue let's build!
Get to know Sl Flyer
Web Mobile Apps, Graphic Design, Video Editing, AI Powered Solutions
Level 1
- FromSri Lanka
- Member sinceDec 2019
- Last delivery6 days
Languages
English, Spanish, French, Italian, German
My Portfolio
FAQ
What is LangChain and LangGraph, and why do I need them?
LangChain is a framework for building AI agents and chatbots. LangGraph adds multi-step, stateful workflows on top of it. Together they let me build AI that can reason, remember, and take actions — not just answer questions.
What is an MCP server and do I need one?
MCP (Model Context Protocol) lets AI like Claude connect to your local tools, databases, and APIs securely. If you want your AI agent to read files, query databases, or call your own APIs — you need an MCP server.
What do I need to provide to get started?
Just tell me your use case and what data or APIs your agent should work with. I handle the rest — setup, coding, testing, and delivery with full source code.
Can you train the AI on my own documents or data?
Yes. Using RAG (Retrieval-Augmented Generation), I connect your PDFs, docs, or database to the AI so it answers based on your specific data — not just general knowledge.
Which LLM models do you support?
I support OpenAI (GPT-4. GPT-5), Anthropic Claude, LLaMA, and Mistral. I can use your own API key or set up a local open-source model based on your preference and budget.

