Services

MCP Server Development and Integration

Connect AI assistants to business tools through secure interfaces.

Typical use cases

  • CRM and ERP tools exposed to AI assistants
  • Internal APIs accessible to compatible AI clients
  • MCP gateways for governed enterprise workflows

Technical priorities

  • Design narrow tool schemas with explicit input validation and predictable error contracts.
  • Apply authentication, authorization, rate limits and audit trails to privileged operations.
  • Test failure modes such as timeouts, prompt injection and accidental exposure of internal services.
01

Tool contracts and authorization model

Scope, acceptance criteria and responsibilities are agreed during planning.

02

MCP server implementation and tests

Scope, acceptance criteria and responsibilities are agreed during planning.

03

Threat model and operational documentation

Scope, acceptance criteria and responsibilities are agreed during planning.

STEP / 01

Select safe actions and data access needs

We align goals, constraints and required outcomes.

STEP / 02

Define tool schemas and approvals

We plan implementation and verify assumptions.

STEP / 03

Test authentication, misuse and observability

We review results and agree on next steps.

What is an MCP server useful for?

It offers a consistent interface for approved tools or information sources used by compatible AI clients. Safe design requires scoped actions, authentication and reliable error handling.

Should an MCP tool write directly to production systems?

Not without authorization controls, auditability and appropriate confirmations. Read-only tools are often a sensible starting point.

Let's talk about mcp server development and integration.

We review goals, technical requirements and dependencies before proposing an engagement.

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