MCP Development & 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.
Private MCP development
Custom MCP servers for your own systems, built for your infrastructure and business logic and never published.
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.
Internal API connectors
Wrappers around your internal 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.
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.
MCP integrations
Connecting your agents and AI tools to the MCP servers that already exist.
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.
Third-party API connectors
Where a vendor publishes an MCP server, I configure it with the right credentials and scopes. Where it doesn't, I wrap its API as typed MCP tools.
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 a private one. No unnecessary reinvention.
Hiring me for MCP Development & Integrations
MCP servers that give your agents structured, authenticated access to your databases, internal APIs and documents, or a secure hookup to MCP servers that already exist.
Who it's for
- Teams that want Claude, ChatGPT or their own agents to use internal systems
- Companies with an internal API or database no public MCP server covers
- Teams wiring several third-party MCP servers into one agent setup
- Anyone who needs per-user auth and scoped access on what an agent can touch
What you get
- A private MCP server (or set of servers) for your systems
- Authentication and permission scoping
- Integration with your agents or AI clients
- Tests and a deployment you host
- Documentation for adding tools later
What I need from you
- The systems and actions the agent needs
- API docs, credentials or sandbox access
- Your hosting and security requirements
- A technical contact on your side
How it runs
Typically 2–5 weeks for a focused integration.
- Week 1
Map the tools
Which systems, which operations, read-only or write, and who may use them.
- Week 1–2
Design
Tool definitions, auth model and hosting.
- Weeks 2–4
Build and test
Server built and tested against real agent use.
- Weeks 3–5
Deploy
Deploy, connect clients and hand over.
Focused MCP integrations start around $8,000. Larger integration layers are quoted on scope after a short call.