Frameworks & Platforms

Model Context Protocol (MCP) server development

Give your AI clients safe, structured access to your systems. We build custom MCP servers that expose your tools, data, and actions to Claude and any MCP-compatible agent.

The problem

Connecting an AI assistant to your internal tools usually means brittle glue code for every integration. With no standard interface, each new data source is another one-off, and access control, typing, and auth get rebuilt from scratch every time.

Our approach

MCP is the standard interface for that connection. We build typed MCP servers that wrap your APIs and data sources with proper authentication, scoped permissions, and clear tool definitions, so any MCP client can use them safely, today and as the ecosystem grows.

What we deliver

  • Custom MCP servers wrapping your APIs and databases
  • Typed tool and resource definitions
  • Authentication, scoping, and least-privilege access
  • Local (stdio) and remote (HTTP/SSE) transports
  • Testing, packaging, and deployment
architecture

How an MCP server fits in

One MCP server wraps your APIs and data behind typed tools and scoped auth. Any MCP-compatible client, such as Claude, can then discover and use them through a single standard interface.

Build the server once; every compatible agent can use it.
  1. 01

    An AI client connects

    Claude, or any MCP-compatible client, speaks one standard protocol.

  2. 02

    Your MCP server answers

    It exposes your systems behind typed tools and scoped auth.

    • Auth and scoping
    • Typed tools
    • Resources
  3. 03

    Your systems do the work

    Tools and resources map onto your real APIs and data.

    • Your APIs
    • Your data
frequently asked

Questions, answered

What is a Model Context Protocol (MCP) server?

An MCP server is a standard adapter that exposes tools, resources, and prompts to AI clients. Instead of custom glue for every integration, any MCP-compatible client like Claude can discover and call your tools through one consistent protocol.

Why use MCP instead of custom integrations?

MCP gives you a single, typed, auth-aware interface that works across AI clients. You build the server once, and every compatible agent can use it. That means less per-integration glue code, with access control in one place.

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