Ai Collab MCP Server

If you already use Ai Collab MCP, the ai collab mcp mcp server is the piece that lets your assistant work with it directly. MCP server for AI-to-AI collaboration between Claude and Gemini.

What the server does

A Model Context Protocol (MCP) server designed to facilitate direct AI-to-AI collaboration between Claude and Gemini, eliminating the need for human intermediation in development workflows.

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

• send_directive — Create development tasks (now with dependencies & priority)
• send_batch_directives — Create multiple tasks at once
• review_work — Review submissions
• create_project_plan — Start comprehensive plan
• update_plan_progress — Move to next phase
• get_all_tasks — View assigned work (sorted by priority)
• submit_work — Submit completed tasks
• ask_question — Request clarification

Installation

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Where it fits

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Ai Collab MCP's toolset — send_directive, send_batch_directives, review_work and 5 more — is a fair guide to whether it matches your workflow. It is maintained by wyn0001; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Worth knowing first

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.