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I will build a custom mcp server for ai agent
Mhamudul H
About this gig
Unlock your AI agent's true potential. LLMs are powerful, but they need access to your live data and tools to be truly useful. I will build a secure, high-performance Model Context Protocol (MCP) server to bridge the gap between your AI agents (like Claude Desktop or custom LangChain apps) and your private ecosystem.
As a Senior Software Engineer, I don't just write basic scriptsI build scalable, production-ready AI infrastructure.
What I Deliver:
- Custom Tools & Resources: Empower your AI to query databases, trigger external APIs, and execute complex backend workflows.
- Seamless Data Integration: Connect securely to REST APIs, MySQL, PostgreSQL, or third-party SaaS platforms.
- Enterprise Security: Implement robust authentication (OAuth, API Keys, Bearer tokens) to keep your proprietary data safe.
- Production-Ready Code: Delivered with strict error handling, context optimization, and Dockerization for frictionless deployment.
Please message me before ordering. Complex AI systems require clear architecturelets discuss your technical requirements first.
Get to know Mhamudul H
Mhamudul H
Senior Software Engineer
- FromBangladesh
- Member sinceMar 2022
- Avg. response time1 hour
Languages
Bengali, English
I’m a Senior Software Engineer with 9+ years of experience building scalable, high-performance web applications. I specialize in custom WordPress plugin & theme development, WooCommerce systems, and complex backend architecture using PHP, Laravel, CodeIgniter, and Node.js. I also work with modern JavaScript (React) to build dynamic interfaces. I help clients turn ideas into reliable, production-ready products with clean, maintainable code.
My Portfolio
FAQ
What exactly is an MCP server, and why does my AI agent need it?
The Model Context Protocol (MCP) is a standardized way for AI models to securely connect to external data sources and tools. Without it, your AI is isolated and can only guess based on its training data. I build the custom "bridge" that allows your AI to securely read your live databases, search you
Which AI platforms and clients will this work with?
Because MCP is an open standard, the server I build will work with any MCP-compatible client. This includes the Claude Desktop app, custom LangChain or LangGraph agents, AutoGen, and modern AI IDEs like Cursor or Windsurf.
What kinds of databases or APIs can you integrate?
I can integrate almost any system with a documented API or database connection. This includes standard REST/GraphQL APIs, third-party SaaS platforms (HubSpot, Salesforce, Stripe), and databases like MySQL, PostgreSQL, MongoDB, or Redis.
How do you ensure my private data and API keys stay secure?
As a Senior Backend Engineer, security is my top priority. I implement strict environment variable management, secure authentication methods (OAuth, Bearer Tokens, API Keys), and can set up strict "read-only" database permissions if you only want the AI to fetch data without modifying it.
How and where do I host this MCP server?
You can run it locally for desktop AI apps, or deploy it to the cloud (AWS, DigitalOcean, Render, Heroku) for web-based agents. In my Standard and Premium packages, I provide a fully Dockerized setup, which makes deploying it to any cloud environment fast and frictionless.
What is the difference between "Resources" and "Tools" in your packages?
In the MCP ecosystem, a Resource is data the AI can read (like pulling a specific user's purchase history from your database). A Tool is an action the AI can take (like triggering an API to send a welcome email or updating a database record). I can build both depending on your workflow.
What programming languages do you use to build the server?
I build production-ready MCP servers using either Node.js/TypeScript or Python. Both have robust, official SDK support from Anthropic and integrate perfectly into modern AI and backend architectures. We can discuss which language fits your existing tech stack best.
Do you provide the AI model/API keys?
No, this gig is strictly for backend infrastructure (the MCP server). You will bring your own AI client (like Claude Desktop) or your own API keys (Anthropic, OpenAI) to connect to the server I build for you.
Why do you require a message before I place an order?
AI architecture requires careful planning. Before you order, I need to review your specific API documentation, database schema, or workflow requirements. This ensures I can guarantee technical feasibility and recommend the correct package for a scalable, secure solution.
