Ask Claude about your data
Read-only access to your Postgres, Supabase or analytics database, so your team can ask questions in plain English instead of waiting for someone to write SQL.
I build custom MCP servers and Claude Code workflows, so your team can ask Claude to work with your own database, APIs and tools, safely.
Your team already uses Claude. But it can’t see your database, your internal tools or your deploys, so people copy and paste between windows. An MCP server gives Claude its own carefully limited access, so it can do the work itself.
Read-only access to your Postgres, Supabase or analytics database, so your team can ask questions in plain English instead of waiting for someone to write SQL.
Look up a customer, check an order, create a ticket. Claude calls your own API with the same permissions a person would have.
Check deploy status, read recent logs and run the safe, pre-approved actions your team does every day.
Shared commands, hooks and review checklists that teach Claude Code your repo’s conventions, so everyone gets the same good results.
Run Claude Code work on a build machine, a server or a second Mac, like my open-source claude-bridge.
Let Claude search your documentation, wiki or support history and answer with links to the source.
One system connected to Claude: your database, an API or an internal tool.
Claude working across several of your systems, set up for a whole team.
Something bigger or different? Tell me about it and I’ll send a written scope.
An AI with access to your systems has to be built more carefully than a normal integration. Every project starts from these rules:
You tell me which systems you want Claude to use and what your team does with them today.
Exactly which tools I’ll build, what they can and can’t do, and what it costs. No surprises.
You see it working against a test environment before anything touches production.
Your code, in your repository, with docs. You own all of it.
An open-source MCP server that lets a Claude Code session run real, resumable tasks on another Mac over a private Tailscale network, with token auth, allowed folders and careful permission defaults.
The Model Context Protocol is an open standard for giving AI assistants tools. An MCP server is a small program that tells Claude what it can do, such as “look up an order”, and does it safely when asked.
No. MCP servers work in Claude Code, Claude Desktop and other MCP clients. Claude Code workflows need Claude Code, of course.
Only if it’s built carefully. I start read-only, give each tool the smallest access it needs, keep secrets on the server and make risky actions require approval.
You do. It’s delivered to your repository, and you can change, extend or host it however you like.
Usually, yes. If your system has an API, a database or a command-line tool, it can almost always be connected.