MCP servers that make your codebase agent-ready

Problem

AI agents cannot be useful if they cannot safely call your real systems. Teams end up building one-off tools, brittle scripts, or manual handoffs instead of exposing code, data, and workflows through a standard interface.

How it works

You define what agents should be able to read or do, and Rosvelt builds the MCP server that exposes those capabilities through typed, scoped tools your team owns in code.

2Connect your repo and point Rosvelt at the code, APIs, or actions you want to expose.

3Agents scope the work, implement the MCP protocol, and define each tool's inputs and outputs.

4They wire every tool to your real code and open a reviewable completed work for review.

5Connect a client, call your tools in a live preview, and merge when it's right.

Tickets

Track scoped work, ownership, progress, blockers, and review in one board.

What you can expose

Your internal systems become structured, permissioned tools that AI agents can call reliably instead of relying on brittle scripts or manual handoffs.

What you get

A production-ready MCP layer you own, reviewed in your repo, and designed to evolve as your tools, workflows, and agent needs grow.

Review before you merge

Every server ships as a completed work for review with a live preview, so nothing reaches your codebase unseen.

Connect any MCP client to the preview and call your tools against real code before you approve. Iterate in the same thread to refine inputs, add tools, or adjust behavior — then merge when it's ready.

Preview

Inspect the result, request edits, and move it forward without changing tools.

Why it's different

Your codebase becomes AI-native and standard, not a brittle one-off integration.

See it in action

Watch a codebase get exposed as a working MCP server.