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MCP Server Development

MCP server development: connect AI agents to your product

An MCP (Model Context Protocol) server exposes your product's capabilities as typed tools that AI assistants like Claude can discover and call. ZeroTwo Solutions builds MCP servers with grouped tools, input validation, authentication and a single approval gateway for destructive actions. We shipped a 105-tool MCP server that lets an AI agent operate live trading charts.

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Technical roadmap within 48 hours · NDA on request · You own 100% of the IP

Outcomes

What you get

The results this engagement is built to leave you with in production.

  • Your product becomes usable from Claude Desktop, Claude Code and any MCP-compatible agent
  • Tool design grouped by domain so models pick the right tool on the first try
  • Destructive actions routed through one approval gateway the user controls
  • Versioned, tested tool contracts that survive model upgrades
Deliverables

What we deliver

  • Tool design

    We map your API into well-named, well-described tool groups with schemas models understand.

  • Server build

    Production MCP server with auth, rate limits, logging and transport suited to desktop or remote use.

  • Safety layer

    Approval prompts, scopes and audit logs for anything that writes, deletes or spends money.

  • Agent client

    Optional in-app agent loop with streaming, prompt caching and cancellation built on your MCP server.

Tech stack

  • MCP
  • TypeScript
  • Python
  • Anthropic SDK
  • AWS Bedrock
  • Gemini
  • Electron
  • Chrome DevTools Protocol
Proof

Related case studies

Production systems where we delivered this service. Client names are withheld under NDA.

View all case studies
  • FinTech · Trading analytics

    AI research agent for an options analytics platform

    A subscription analytics platform with 130+ live pages for options flow, dark pool and volatility data, plus an AI research agent on Claude via AWS Bedrock.

    live analytics pages
    130+
    WebSocket routes
    100+
    • Django
    • DRF
    • Django Channels
    • Celery
    • PostgreSQL
    • Redis
    Read the case study: AI research agent for an options analytics platform
Process

How the engagement runs

See our full delivery process
  1. 01

    Discovery call

    30 min
  2. 02

    Technical roadmap

    48 hours
  3. 03

    Pilot sprint

    1–2 weeks
  4. 04

    Build & ship

    Weekly demos
  5. 05

    Run & scale

    Ongoing
FAQ

MCP Server Development FAQ

What is an MCP server?

MCP (Model Context Protocol) is an open standard for connecting AI assistants to tools and data. An MCP server publishes tools with names, descriptions and input schemas that a model can call, so the same integration works across Claude and other MCP-compatible clients.

Is it safe to let an AI agent act inside our product?

Yes, when the server enforces it. We validate every tool input on the server, scope credentials to least privilege and route destructive actions through an explicit user approval step with an audit log.

How many tools should an MCP server have?

As many as the job needs, organized into clear groups. Our largest server exposes 105 tools in 17 groups; good naming and descriptions matter more than count for reliable tool selection.

Related services

Other ways we can help

Start a project

Want AI agents to use your product safely?

Tell us what you want to ship. You will get a technical roadmap and a fixed-scope proposal within 48 hours.

Get your free roadmap info@zerotwosolutions.com
  • Reply within 1 business day
  • NDA on request
  • You own 100% of the IP