I will develop mcp server with ai and ui client merge and backend


About this gig
Want to connect your AI agents with real tools and data? I will set up a Model Context Protocol (MCP) server + client and integrate it with your preferred AI model (OpenAI, Claude, Gemini, or local LLMs).
With years of experience in AI development, backend engineering, and cloud deployment, I've delivered scalable MCP servers, AI integrations, and automation solutions for startups and enterprises worldwide.
What I Deliver
- MCP Server Setup (Node.js/TypeScript or Python FastAPI)
- MCP Client Implementation (CLI or Web UI)
- AI Integration with OpenAI, Anthropic Claude, Ollama, LangChain or LlamaIndex or any
- Custom Tooling (DBs, APIs, Google Sheets, Slack, Notion, GitHub)
- Secure Config (.env, auth, rate limits, logging)
- Docker Deployment to AWS, GCP, Azure, or VPS
- Optional RAG Pipeline with pgvector, Chroma, Pinecone, or Redis
Why Choose Me?
I specialize in AI backend integrations with production-ready code, clear documentation, and full source delivery. Whether you need a quick MCP setup, a secure deployment, or a full AI agent with RAG and monitoring, Ill build it fast, secure, and scalable.
Lets give your AI real power with a production-grade MCP server + client.
Get to know Suraj Sahu
If it is imaginable, it is buildable
- FromIndia
- Member sinceFeb 2023
- Avg. response time1 hour
- Last delivery2 years
Languages
English, Hindi, Spanish, Italian, Swedish
My Portfolio
FAQ
What is MCP (Model Context Protocol)?
MCP is a new open standard that allows AI models (like OpenAI, Claude, Ollama) to safely connect to real-world tools and data sources. It defines how tools are described, called, and secured, making AI agents more powerful and reliable.
Which AI models do you support?
I can integrate with OpenAI (GPT), Anthropic Claude, Google Gemini, and Ollama (local LLMs). I also support frameworks like LangChain and LlamaIndex for custom agent workflows.
Can you connect my database or APIs?
Yes! I can build custom MCP tools for PostgreSQL, MySQL, MongoDB, REST APIs, Google Sheets, Notion, Slack, GitHub, and more. You’ll get secure access with logging and validations.
Do you support RAG (Retrieval-Augmented Generation)?
Yes. In MCP Suite Package (or as an extra), I set up RAG pipelines with pgvector, Pinecone, Redis, or Chroma to let your AI retrieve and use knowledge from your documents.
Will you handle deployment?
Yes. I can Dockerize and deploy your MCP server to AWS, GCP, Azure, Render, or VPS. You’ll receive documentation and a walkthrough so you can manage it after delivery.
Do I get full source code?
Absolutely. You receive 100% clean, documented source code with instructions, .env templates, and a README. Full ownership of IP remains with you.
Do you provide post-delivery support?
Yes. All packages include support after delivery. Standard includes 7 days chat support, Premium includes 14 days priority support + training. Long-term maintenance is available as a gig extra.
Can you integrate with my existing AI agent (LangChain, LlamaIndex, custom)?
Yes. MCP is framework-agnostic. I can connect your existing AI agent stack (LangChain, LlamaIndex, Rasa, or a custom solution) to MCP tools for seamless integration.
What do I need to provide before you start?
I’ll need details on your AI provider (OpenAI/Claude/Ollama), tools or data sources you want connected (DBs, APIs, apps), and your deployment preferences (cloud, VPS, or local).
Do you sign NDAs for enterprise projects?
Yes. I work with startups and enterprises under strict confidentiality. If needed, I’ll sign an NDA before starting work.
