ddyta.ai
/services/development/services/development/custom-mcp-server-development
frontierSTATUS: ACTIVEIn-house delivery

Custom MCP Server Development

Custom Model Context Protocol connectors

MCP is the emerging standard for connecting AI models to external tools and data. We build custom MCP servers that give Claude, GPT, and other models structured, secure access to your internal systems. This is an early-mover space with very few providers — and we're already building production MCP connectors.

TypeScriptMCP SDKNode.jsPostgres
// service_overview
Status
Active
Tier
frontier
Delivery
In-house
Steps
4-phase engagement
/01Capabilities

What we deliver.

Every capability is engineered for production from day one — tested, documented, and ready to deploy.

  • Custom MCP server design and implementation
  • Secure tool and resource exposure for AI models
  • Integration with internal APIs, databases, and file systems
  • Permission and access control layers
  • Testing and validation tooling
  • Compatible with Claude, Cursor, Windsurf, and other MCP clients
/02Engagement Process

How the engagement runs.

P.01

System Mapping

Identify which internal systems and data to expose via MCP.

P.02

Server Design

Define tools, resources, and permission boundaries.

P.03

Implementation

Build, test, and secure the MCP server.

P.04

Deployment

Deploy, connect to AI clients, and document for your team.

/03Deliverables
D.01

Production MCP server

D.02

Tool and resource definitions

D.03

Security and access control configuration

D.04

Integration guide and documentation

Ready to put this into action?

Tell us about your project and constraints. We'll respond with a technical point of view.

Get in touch
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AI Strategy / Opportunity Assessment

A clear roadmap before any build begins