ai / mcp-server-development

MCP Server Development

Custom Model Context Protocol servers that expose your systems, data and actions as tools for AI assistants like Claude. Your team asks in plain language, and the assistant works directly with your real systems.

agent · live

Which enterprise customers have open support tickets older than a week?

crm.search_accounts({ tier: "enterprise" })✓ 42 accounts
support.list_tickets({ status: "open", olderThanDays: 7 })✓ 5 tickets

Three enterprise customers have tickets open for more than 7 days: Northwind (2), Acme (2) and Globex (1). Want me to draft follow-ups?

Ask a follow-up…
unanswered

Your Assistant Cannot See Your Business

AI assistants are capable, but out of the box they know nothing about your CRM, your database or your internal tools. People end up copying data into chats by hand.

Copy-pasting data into chat windows, and pasting answers back out
Every team building its own one-off integration
No control over what data an assistant can read or change
Integrations that break whenever the assistant or model changes
capabilities

Why MCP

One open standard that connects your systems to any compatible assistant

Build Once, Use Everywhere

One MCP server works with Claude and the growing list of MCP-compatible clients and agents.

Scoped Access

Each tool exposes only the data and actions it should, under your authentication rules.

Natural Language on Real Data

Your team asks questions and triggers actions in plain English, against live systems.

Future-Proof

Swap assistants or models without rebuilding your integrations.

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How We Build MCP Servers

  1. node: design_the_tool_surface

    Design the Tool Surface

    The Right Tools, Not Every Endpoint

    We choose the small set of tools, resources and prompts that match how your team actually works, with names and descriptions a model can use reliably.

    • Task-shaped tools, not raw API dumps
    • Clear descriptions and examples
    • Read and write actions separated
    • Resources for reference data
  2. node: implement_securely

    Implement Securely

    TypeScript, Typed Schemas, Least Privilege

    Servers are built in Node.js and TypeScript with Zod-validated inputs, and each tool is scoped to the permissions it needs.

    • Input validation on every tool
    • Per-user auth and permission checks
    • Rate limits and audit logging
    • Safe defaults for destructive actions
  3. node: deploy_and_roll_out

    Deploy and Roll Out

    Local or Remote, Your Choice

    We ship local servers for desktop clients or remote servers on your AWS account, and help your team start using them.

    • Packaging for desktop clients
    • Remote deployment on AWS
    • Usage tracing and monitoring
    • Team onboarding and docs
tools

What We Connect

Common systems we expose through MCP

"name": "Databases",
"description": Safe, read-only query tools over PostgreSQL, MySQL and MongoDB, with guardrails on what can be run.
"name": "Internal APIs",
"description": Your own services, wrapped as task-focused tools with proper authentication.
"name": "CRM and Support Tools",
"description": Look up customers, tickets and history, and draft or log actions.
"name": "Cloud and DevOps",
"description": Read AWS resources, deployments and logs to help with operations questions.
"name": "Documents and Knowledge",
"description": Search across docs and wikis, combined with RAG for grounded answers.
"name": "Business Workflows",
"description": Trigger approvals, notifications and other automations from a conversation.
trace

Getting Your First MCP Server Live

  1. 01 Use-Case Review

    Pick the questions and actions your team needs most.

  2. 02 Tool Design

    Define tools, inputs and permissions for each use case.

  3. 03 Build and Test

    Implement the server with typed schemas and tests against real data.

  4. 04 Security Review

    Check auth, scopes, logging and limits before anyone uses it.

  5. 05 Deploy

    Ship locally or on AWS and connect it to your assistant.

  6. 06 Iterate

    Watch real usage and refine tools and descriptions.

evals

What You Get

Deliverables included with every MCP server

PASS
Typed
Tool Schemas
validated inputs for every tool
PASS
Scoped
Permissions
least-privilege access per tool
PASS
Logged
Every Call
an audit trail of what was accessed
PASS
Open
Standard
works with any MCP-compatible client

Ready to Connect Your Assistant to Your Systems?

Tell us which systems your team keeps copying data out of. We will design an MCP server that brings them to your assistant safely.

Describe the task you want AI to take off your plate…Plan Your MCP Server