MCP server development for AI-native businesses
Model Context Protocol servers give your AI agents real tools — the ability to read and write your data, trigger actions, and operate autonomously. We build production MCP servers on Railway and deploy them in days.
Why work with us
Connect AI to any data source
Databases, APIs, file systems, SaaS tools — MCP servers give your AI agents structured access to whatever data they need to do their job.
Production-ready deployment
We deploy on Railway with proper auth, logging, and error handling. These aren't local dev tools — they're production infrastructure.
Works with Claude, GPT, and any MCP-compatible client
MCP is an open standard. The servers we build work with any compliant AI client, so you're not locked into a single model provider.
MCP servers are the infrastructure layer that makes AI agents actually useful in a business context. Without them, AI models can only work with what’s in their context window. With MCP servers, they can reach into your systems, pull live data, and take actions.
We specialise in building production MCP servers — not proof-of-concepts, but deployed infrastructure with proper authentication, error handling, rate limiting, and logging. Our typical deployment runs on Railway with automated monitoring.
If you’re building AI-powered workflows or giving your team AI assistants that need access to company data, MCP servers are likely part of the solution.
Frequently asked questions
What is an MCP server?
MCP (Model Context Protocol) is an open standard created by Anthropic that lets AI models interact with external systems through a standardised interface. An MCP server exposes tools, resources, and prompts that AI agents can use — like querying a database, sending an email, or updating a record in your CRM.
How is it different from a regular API integration?
A regular API integration is point-to-point: you write code that calls a specific endpoint. An MCP server is agent-native: it describes its capabilities in a way that AI models can understand and use autonomously. The AI decides when and how to use the tools based on context, rather than following a hard-coded sequence.
How long to build?
Simple MCP servers that expose a single data source take 3-5 days. More complex servers with multiple tools, authentication layers, and custom business logic typically take 1-3 weeks.
What can an MCP server connect to?
Anything with an API or database connection. We've built MCP servers for CRMs (HubSpot, Salesforce), databases (PostgreSQL, Supabase), project management tools (Linear, Jira), communication platforms (Slack, email), and custom internal systems.
Ready to get started?
Book a free 30-minute scoping call. We'll tell you honestly whether we can help.