MCP Server Development
We build Model Context Protocol (MCP) servers that give AI assistants and agents controlled access to your tools, data and APIs. One secure connector, usable from any MCP-compatible AI client.
Problems we solve
Every AI tool needs its own custom integration.
You cannot see or control what AI tools do in your systems.
Your product needs to work with your customers' AI assistants.
What we build
- Custom MCP servers Your APIs, databases and internal tools exposed as well-described tools.
- Product MCP servers Let your customers' AI assistants work with your SaaS product.
- Authentication and permissions OAuth, scoped access and per-user permissions.
- Audit logging A record of every tool call, its inputs and its result.
- WordPress and CMS connectors Site content and actions exposed to AI clients through the WordPress MCP Adapter.
How it works
- Inventory Choose which systems and actions to expose.
- Design Define tools, inputs, permissions and limits.
- Build Implement, secure and test the server.
- Deploy Host it, connect AI clients and monitor usage.
How to start
Most MCP projects start with one system and a handful of tools. Tell us what you want AI to be able to do.
Questions about MCP Server Development
What is MCP?
The Model Context Protocol is an open standard for connecting AI assistants and agents to tools and data. Build one MCP server and any compatible client can use it.
Which AI clients can use an MCP server?
Popular AI assistants, coding tools and agent frameworks support MCP, and the list keeps growing. We test with the clients your team uses.
Is it secure?
Security is designed in: authentication, narrow permissions, rate limits and a log of every call. Sensitive actions can require approval.
Should we build an MCP server or a regular API integration?
If several AI tools or agents need the same access, MCP saves you building it again for each one. For a single fixed workflow, a direct integration can be simpler.