MCP Server DevelopmentImad Dhin
I build custom Model Context Protocol (MCP) servers that connect AI assistants to your business tools, databases, and internal APIs. MCP is the open standard that lets LLMs like Claude securely interact with external systems — and I specialize in building production-grade servers that turn your services into AI-ready tools. From database connectors and SaaS integrations to custom enterprise servers, I handle the full lifecycle: architecture, implementation, authentication, error handling, and deployment. Built with FastMCP (Python) or the TypeScript SDK, every server follows best practices for security, performance, and maintainability.
FAQs
Model Context Protocol is the open standard for connecting AI models to external tools and data. A custom MCP server lets Claude or other AI assistants directly query your databases, call your APIs, and use your internal tools — making AI actually useful for your specific workflows.
Any system with an API. Common builds include: database connectors (PostgreSQL, Supabase), SaaS integrations (Salesforce, HubSpot, Jira), internal tools, file systems, and custom business logic. I also build composite servers that orchestrate multiple services.
Every server implements proper OAuth2/API key authentication, input validation, rate limiting, and scoped permissions. I follow the principle of least privilege — your AI tools only access what they need.
Contact for pricing
Duration1 week
Tags
Bun
Node.js
Python
TypeScript
AI Automation
AI Developer
AI Engineer
Backend Engineer
MCP
Service provided by
Imad Dhin maxRabat, Morocco
- $50k+
- Earned
- 29
- Paid projects
- 5.00
- Rating
- 149
- Followers
MCP Server DevelopmentImad Dhin
Contact for pricing
Duration1 week
Tags
Bun
Node.js
Python
TypeScript
AI Automation
AI Developer
AI Engineer
Backend Engineer
MCP
I build custom Model Context Protocol (MCP) servers that connect AI assistants to your business tools, databases, and internal APIs. MCP is the open standard that lets LLMs like Claude securely interact with external systems — and I specialize in building production-grade servers that turn your services into AI-ready tools. From database connectors and SaaS integrations to custom enterprise servers, I handle the full lifecycle: architecture, implementation, authentication, error handling, and deployment. Built with FastMCP (Python) or the TypeScript SDK, every server follows best practices for security, performance, and maintainability.
FAQs
Model Context Protocol is the open standard for connecting AI models to external tools and data. A custom MCP server lets Claude or other AI assistants directly query your databases, call your APIs, and use your internal tools — making AI actually useful for your specific workflows.
Any system with an API. Common builds include: database connectors (PostgreSQL, Supabase), SaaS integrations (Salesforce, HubSpot, Jira), internal tools, file systems, and custom business logic. I also build composite servers that orchestrate multiple services.
Every server implements proper OAuth2/API key authentication, input validation, rate limiting, and scoped permissions. I follow the principle of least privilege — your AI tools only access what they need.
Contact for pricing