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I will develop a custom mcp server for your ai agents
Sehan D
About this gig
Want your AI agents to work with real business data instead of isolated knowledge? I build custom Model Context Protocol (MCP) servers that securely connect AI assistants to your databases, APIs and business tools.
Whether you're integrating Claude, ChatGPT or another AI application, I can build reliable MCP solutions tailored to your workflow.
What I can build:
- Custom MCP servers in Python, Node.js or Go
- PostgreSQL, MySQL, MongoDB & file system integrations
- Connections to GitHub, Slack, CRMs & internal APIs
- Custom MCP tools for AI actions and automation
- Secure authentication and API integration
- Clean, scalable, maintainable code
I focus on building reliable MCP infrastructure that gives AI access to the right data while keeping your systems secure and easy to maintain.
Send me a message before ordering so we can discuss your architecture, integrations, and security requirements before we get started.
Get to know Sehan D
Sehan D
Software Engineer
- FromSri Lanka
- Member sinceMay 2026
- Avg. response time3 hours
Languages
Sinhala, English, German
Hello there! I’m a Software Engineer with 4+ years of experience building clean, scalable web apps and SaaS products. I have worked with many clients and completed 50+ projects using React, Next.js, Node.js, Go, Python, Google Maps API, authentication systems and API integrations. I focus on clean code, clear communication, fast delivery and reliable results. Let’s discuss your project and build it the right way.
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FAQ
Will this help prevent my AI agent from hallucinating?
Absolutely. LLMs often hallucinate because they predict answers based on training data rather than realtime facts. By connecting your AI to your actual databases or internal systems via an MCP server, the AI grounds its responses in your reliable, live data, which significantly reduces hallucination
What exactly is the Model Context Protocol (MCP) and why do I need it?
MCP is an open standard that allows AI assistants to securely connect to your private data sources and internal business tools. Instead of relying on isolated or fragmented API scripts, an MCP server creates a two way connection so your AI can read and write data directly from your system.
Which AI models can use the MCP server you build?
While MCP was created by Anthropic and is natively integrated into the Claude Desktop app and Claude Code, it is an open standard. This means the architecture can also be utilized by other frontier models, like OpenAI's GPT-4, that support advanced function calling.
Why is it mandatory to message you before placing an order?
Building a custom MCP server requires a deep understanding of your existing data architecture. Discussing your specific API endpoints, database schemas, and security requirements beforehand ensures I engineer a solution that integrates perfectly with your business infrastructure.
What is the difference between local (stdio) and remote (SSE) transport?
Standard input/output (stdio) is ideal for local resources and testing, allowing fast, synchronous message transmission directly on your machine. Server-Sent Events (SSE) is preferred for remote, cloud-deployed production servers, allowing real-time data streaming between the AI client and server.
