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English
$
USD
I will build custom mcp servers and high performance ai tools
Has San
About this gig
Stop copy-pasting your data into LLMs. Build a real AI system instead.
I build Model Context Protocol (MCP) servers that connect your AI agents to real tools databases, APIs, cloud storage, and internal systems. If you're using Claude Desktop, Cursor, or building a custom AI agent, Ill give it secure, production-ready access to your data.
Services I Offer:
- Custom MCP servers (SQLite, PostgreSQL, Google Drive, Notion, Slack)
- Secure API integrations (REST, GraphQL, internal APIs)
- Python & TypeScript AI SDK development
- stdio & SSE transport implementation
- Context-aware tools for reading/writing structured data
- Secure authentication (OAuth2, API keys, user consent flows)
Why Choose Me?
- Clean, scalable, fully documented code
- Security-first architecture
- Built according to latest MCP specifications
- No low-quality AI-generated boilerplate
Perfect for AI startups, SaaS founders, automation builders, and dev teams who need real AI infrastructure.
- Lets turn your LLM into a production-ready AI agent.
Get to know Has San
Has San
- FromPakistan
- Member sinceMar 2022
Languages
English
Enthusiastic Software Engineer eager to contribute to success through hard work, attention to detail and excellent skills.
Clear understanding of Requirements and training make use of my skills, knowledge and expertise.
Motivated to grow with people.
FAQ
What is an MCP Server?
Think of it as a universal translator. It’s a standard protocol that lets AI models (like Claude) safely access your local data or external tools without you having to manually upload files or write custom code every time.
Which platforms support these servers?
Currently, they work natively with Anthropic’s Claude Desktop, Cursor AI, and Windsurf, but they can be integrated into any custom AI application you are building.
Do you provide documentation?
Absolutely. Every delivery includes a README.md with setup instructions, environment variable guides, and example prompts to get your AI using the tools immediately.
Do I need to host the server myself?
It depends on your use case! For local tools (like Cursor or Claude Desktop), the server runs right on your computer using stdio. For team-wide or cloud-based agents, I can set up an SSE (Server-Sent Events) host on platforms like Railway, AWS, or Vercel.
Can you connect to any API?
Yes! As long as the service has an API (REST, GraphQL, etc.) or a database driver, I can build an MCP tool for it. If the API is private or custom, you just need to provide the documentation or schema.
Is my data secure with an MCP server?
Absolutely. MCP is designed with security in mind. The server only exposes the specific "Tools" and "Resources" you define. I implement strict environment variable management for your API keys and follow "least-privilege" access principles.
