Services

MCP Development and Integration

Custom Model Context Protocol servers, MCP client integrations, MCP tool design and CLI workflows for AI-powered development.

The problem

AI assistants need secure, structured access to external tools and data. MCP provides a standard, but engineering custom implementations requires care.

Who this is for

Teams building AI agents, LLM-powered products, or internal AI tools that need reliable external system connectivity.

What's included

  • MCP server development
  • MCP client integrations
  • MCP tool design
  • MCP CLI workflows
  • External API integrations
  • Authentication & authorization
  • Input validation
  • Structured tool responses
  • Logging & observability

Typical deliverables

  • Custom MCP server(s)
  • MCP client integration
  • Tool definitions & schemas
  • CLI workflows
  • Observability & logging

Integration considerations

  • External APIs
  • AI agents
  • LLM providers
  • Internal systems
  • Authentication providers

Security & testing

Tool permissions, input validation, authentication, structured responses and observability.

Expected project stages

Stage 1
Discovery & tool design
Stage 2
MCP server build
Stage 3
Client integration
Stage 4
Security & validation
Stage 5
Observability
Stage 6
Deployment

Frequently Asked Questions

Do you use every MCP framework?

No. We implement MCP where it fits your architecture and distinguish between using MCP tools and engineering custom MCP implementations.

Is MCP production-ready?

MCP is an evolving standard. We label projects appropriately and test thoroughly before production use.

Relevant projects

Ready to build MCP Development and Integration?

Request a tailored proposal for your project.