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MCP Servers & AI Tool Development

We build Model Context Protocol servers and custom tools that give AI agents safe, governed access to your real systems - so they can act on your business, not just talk about it.

How We Build Production MCP Servers

A demo MCP server is a weekend project; a production one is engineering. We design the right tools, secure them with proper auth and permissions, make them reliable and observable, and integrate them with your systems of record - so your AI agents act safely and your investment is reusable across every model you adopt.

Tool Design & Capability Mapping

We decide which capabilities to expose as tools - with clear inputs, outputs, and descriptions an agent can reason about and use correctly.

Secure Access & Governance

Authentication, scoped permissions, audit logs, and credentials that never leak into prompts - the MCP server becomes your control point.

Reliability & Observability

Idempotency, error handling, rate limiting, and full logging of every tool call - so agents act safely and you can see exactly what happened.

System Integration

We connect the server to your real systems of record - CRM, ERP, databases, internal APIs - the hard part where most AI integration stalls.

Multi-Client Reusability

Build a capability once as an MCP server and every AI client - today's and tomorrow's - can use it, with no re-integration per model.

Agent Enablement

With the right tools in place, your AI agents move from talking about your business to safely acting on it.

AI That Acts, Shipped

MCP servers and tools we've built into production for our clients.