MCP Integrations
I build custom Model Context Protocol (MCP) servers that give AI agents secure, structured access to your internal systems. MCP is the standardised way to connect language models to the tools and data they need to do real work — without fragile prompt hacks or uncontrolled API calls.
What is MCP and why does it matter?
The Model Context Protocol is an open standard for connecting AI models to external tools and data sources in a structured, secure way.
Without MCP, connecting an AI agent to your systems means writing one-off integrations, managing authentication in prompts, and hoping the model formats its API calls correctly. MCP replaces all of that with a clean, typed interface. The model declares what it wants to do, the MCP server validates the request and executes it safely, and the result comes back in a structured format the model can reason about.
This matters because agentic AI systems are only as useful as the data and tools they can access. A brilliant model that can't read your database or file a ticket in your project tracker is just a chatbot. MCP turns chatbots into agents by giving them hands — with guardrails.
What I build
Custom MCP servers tailored to your infrastructure and business logic.
Database connectors
MCP servers that let agents query your databases with proper access controls. Read-only or read-write, with schema-aware interfaces so the model understands your data structure without needing it pasted into every prompt.
API connectors
Wrappers around your internal or third-party APIs that expose them as typed MCP tools. The agent gets a clean interface with parameter validation, rate limiting, and error handling built in — not raw HTTP calls.
Business tool integrations
Connectors for CRMs, project management systems, ticketing platforms, ERP systems, and other business-critical tools. Agents can create records, update statuses, search data, and trigger workflows through controlled MCP interfaces.
File system and document access
Secure, scoped access to file stores, document repositories, and content management systems. Agents can read, search, and in some cases write files — with permissions, path restrictions, and audit logging.
Security and authentication
Every MCP server I build includes proper authentication, authorisation, and audit logging. Agents get the minimum permissions they need, all actions are logged, and sensitive operations require explicit approval through human-in-the-loop patterns.
Custom vs. standard servers
When a well-maintained open-source MCP server already does what you need, I'll recommend it and help you deploy it. When your requirements are specific to your business, I build custom servers from scratch. No unnecessary reinvention.
Need to connect your AI to real systems?
Tell me what tools and data your agents need access to. I'll design the MCP integration layer.