Agentic MCP Teaming

Agentic MCP Teaming turns a single assistant into a coordinated team. Named specialists, each with a focused role, collaborate over a shared Model Context Protocol bus, reviewing work in parallel and converging on a design only once they agree, rather than one model guessing alone.

How it works

Everything is one MCP server: tool access, agent invocation, workflow control, and consensus decisions all flow through it, so every action lands in one audit trail and any MCP-capable client can join. The workflow advances through phases (proposal, design, spec, task, implementation) and at each boundary all reviewers run in parallel against a single captured snapshot before any feedback is shared. Approved tasks are implemented in their own Git worktree: a patch is generated, applied, reviewed, and only then merged back.

Key decisions

• One MCP bus for everything: there are no side channels; every tool call, agent trigger, and decision is a tool call on the same server, which is what makes the audit trail complete and adding a participant a matter of registration, not integration.
• Independent first-pass review: all reviewers see the same snapshot and respond before any feedback is exchanged, so no agent anchors another’s judgement; only then is consensus evaluated.
• Consensus and human-approved are distinct outcomes: the system records whether agents truly agreed or a human broke a deadlock, keeping the audit trail honest about how each artifact was resolved.
• Isolation by filesystem, not locks: each task implements in its own worktree, so parallel work can’t collide on a shared checkout; conflicts surface as a rebase-and-re-review, not a race.