02.06AI

MCP server development

MCP server development from Hot Rocket Software, a team of software, website and digital marketing specialists based in the UK, with 19 years in IT. We build MCP (Model Context Protocol) servers that let AI assistants such as Claude and ChatGPT use your systems safely, with permissions and audit logs.

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02.06.0

What is MCP server development?

An MCP server is a small, secure service that lets AI assistants use your systems. The Model Context Protocol is an open standard, so one server works with any assistant that supports it. We build MCP servers that expose the specific tools and data you choose, with authentication, per-user permissions, rate limits and an audit log of every call.

See where MCP server development fits in our work →

02.06.1

Who is it for?

  • Businesses whose staff already use AI assistants and want them to see real data
  • Software companies that want their product usable from AI assistants
  • Teams building AI agents that need dependable tools

02.06.2

From a small business to a large organisation

The same team takes on a single tool for a small business and long-running work for large companies and the public sector. Here is what each end looks like.

For a small business

A safe, read-only connection so an AI assistant can answer questions from your own information.

For large companies and the public sector

MCP servers that expose chosen internal systems to approved AI clients, with single sign-on, permissions per tool and full audit.

  • Enterprise MCP gateways
  • OAuth and SSO integration
  • Per-tool permissions and logging
  • Hosting inside your own cloud

How we work with enterprise and the public sector →

02.06.3

What you get

  1. 01A tool design: which actions, which data, read-only or write
  2. 02The MCP server, deployed on your infrastructure or ours
  3. 03OAuth or token authentication and per-user permissions
  4. 04Audit logging, rate limiting and input validation
  5. 05Tested with the assistants your team uses

02.06.4

How we approach it

  1. Discover

    Which questions and actions people want from their assistant.

  2. Scope

    Tools, permissions and data boundaries written down.

  3. Build

    Server, auth, logging, and tests for every tool.

  4. Launch

    Connect to your team's assistants; read-only first.

  5. Support

    Keep up with protocol revisions and add tools.

02.06.5

Typical stack

  • MCP (Streamable HTTP, stdio)
  • TypeScript
  • Go
  • OAuth 2.1
  • Your APIs and databases

02.06.6

Questions

What is MCP in plain English?

A standard plug socket between AI assistants and other software. Build one MCP server for your system, and any assistant that supports MCP can use it, within the permissions you set.

Is it safe to connect AI to our systems?

It can be, with the right design: only the tools you choose, read-only by default, per-user permissions, approvals for changes and a log of every call. That is how we build them.

Do you have an example?

Yes. This website runs a public, read-only MCP server at /mcp. Point an MCP-capable assistant at it and ask about our services.

02.06.7

What could this look like for you?

Example ideas, not client case studies.

More ideas we can build →

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Talk it through with us

A free 30-minute first chat, with no obligation. Tell us what is getting in the way; we tell you honestly what we would do, roughly what it would take, and whether it is worth doing at all.