AI that can’t see your data
Claude is only as useful as what it can reach — and your key systems have no connector.
MCP server development
Give your AI secure access to your tools.
Custom MCP server development — we build Model Context Protocol servers so Claude and other AI tools can read and act inside your CRM, database, accounting system or internal apps, with the permissions you choose. Your server, your code, your rules.
- MCP
- Claude
- Claude Code
- TypeScript
- Python
- Cloudflare
In short
TribeHQ is an AI automation agency for growing businesses. MCP server development services: custom Model Context Protocol servers that let Claude and other AI tools securely read and act in your CRM, database, accounting or internal apps.
- Who it’s for
- Growing businesses and lean teams in the US, UK, Australia and beyond
- Built on
- MCP, Claude, Claude Code, TypeScript, Python and Cloudflare
- Timeline
- 1–3 weeks for a focused MCP server, including testing
- Cost
- Fixed-fee audit, then a quoted build sprint — see pricing
- Your team’s time
- Under 10 hours of your team’s time from audit to go-live
- Ownership
- You own the code and accounts. No licence fees to us, no lock-in.
Sound familiar?
Copy-paste between tools
People export data, paste it into AI chats and paste the answers back by hand.
Security worries
You don’t want an AI with full admin access to your CRM or books.
MCP server development, built for your business.
Custom to your process, built on the tools you already use — and a person approves anything that matters.
Design
- Map which tools, data and actions AI should reach
- Read-only vs write access decided per action
- Authentication and least-privilege scopes
- Approval steps for anything risky
Build
- Custom MCP servers in TypeScript or Python
- Tools, resources and prompts designed for your workflows
- Remote servers with OAuth, or local for your team
- Tests against real data before rollout
Deploy & maintain
- Hosted in your cloud account
- Logging of every call the AI makes
- Setup in Claude, Claude Code and other MCP clients
- Docs and source in your GitHub
Map. Build. Run.
- 01Workflow audit1 week, fixed fee. We map how it works today and agree what to fix first. Your team: about 3 hours.
- 02Build sprint2–4 weeks. We build, test and document it on your stack. Your team: about 1 hour a week.
- 03Run & improveMonthly, optional. We monitor and tune it. Cancel anytime — it stays yours. Your team: about 30 minutes a month.
Questions about MCP server development
What is an MCP server?
MCP (Model Context Protocol) is an open standard that lets AI tools like Claude connect to other systems. An MCP server exposes a set of tools and data — for example ‘search deals’ or ‘create invoice draft’ — that the AI can use, with the permissions you set.
Why build a custom MCP server?
When there’s no ready-made connector for your system, when the existing one gives too much access, or when you want AI to work in your workflow’s terms rather than raw API calls.
Which AI tools can use it?
Any MCP client, including Claude, Claude Code and a growing number of other AI apps and IDEs.
Is it secure?
We design for least privilege: read-only by default, write actions only where you approve them, OAuth or scoped keys, and logs of every call. The server runs in your own cloud account.
How long does it take?
A focused MCP server for one system typically takes one to three weeks, including testing and setup in your AI tools.
See what this would look like for you.
A 30-minute call. We’ll look at how you work today and tell you what’s worth building — and what isn’t.