Expert Model Context Protocol (MCP) development. Custom MCP servers, integrations, and consulting. The modern way to give AI agents real capabilities — I'm one of the early adopters building production MCP systems.
MCP (Model Context Protocol) is Anthropic's open standard for connecting AI models to tools and data sources. Launched in 2024, it's rapidly becoming the industry standard. OpenAI now supports it too.
I build MCP servers that expose your tools, databases, APIs, and workflows to AI agents. Python, TypeScript, or Rust implementations.
Connect Claude Desktop, Claude Code, Cursor, or other MCP-compatible clients to your internal systems. Secure, authenticated, production-ready.
The quality of tools determines the quality of agent behavior. I design tool interfaces that AI uses correctly — with proper schemas, descriptions, error messages.
OAuth, API keys, role-based access. MCP servers that keep your data safe while enabling AI productivity.
Logging, metrics, tracing. Know what your AI agents are doing with your tools. Debug issues, optimize performance.
Not sure if MCP is right for you? Architecture review, strategy, vendor selection. Clear guidance from someone who's been building with it from day one.
Real MCP implementations in production systems.
Custom MCP servers connecting Claude to internal databases, REST APIs, and file systems for data science workflows. Used daily in production.
MCP-based integrations for mobile AI apps — connecting on-device AI to cloud tools, databases, and user data with proper authentication.
I've been building with MCP since its early days in late 2024. I understand the protocol, the patterns, and the pitfalls before most developers even knew it existed.
Not building weekend demos. I build MCP servers that run in production with proper error handling, observability, and security.
MCP touches client apps, servers, auth, AI models. I handle all layers — not just the interesting parts.
I follow the official MCP specifications carefully. Your servers will work with Claude, Cursor, Claude Code, and future MCP clients without modification.
Model Context Protocol is an open standard Anthropic launched in 2024 for connecting AI models to tools and data. Think USB-C for AI — a universal connector. Instead of every AI model having custom integrations, MCP gives them a standard way to call tools, read resources, and execute workflows. OpenAI now supports it. It's becoming the industry standard.
Function calling (OpenAI) and tool use (Claude) are LLM-specific. MCP is a layer above that — a standard protocol. Use plain function calling if you're building one integration for one model. Use MCP if you want (1) reusability across AI models, (2) official MCP clients like Claude Desktop to use your tools, (3) future-proofing as the ecosystem standardizes.
Simple server exposing 3-5 tools: $2,000-5,000. Production-grade server with auth, observability, multiple data sources: $10,000-30,000. Enterprise MCP gateway with advanced features: $30,000-100,000+.
Any MCP-compatible client: Claude Desktop, Claude Code, Cursor, and increasingly others. You control authentication and access. Your server can be internal (for your team) or public (for customers).
It can be, when designed properly. I implement OAuth 2.1, proper token scoping, audit logging, rate limiting. For highly sensitive data, I recommend self-hosted MCP servers with strict access controls. I'll design an architecture that matches your security requirements.
Free consultation on whether MCP fits your needs. Architecture review, protocol overview, build estimate. Clear guidance from someone deeply invested in the protocol.
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