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What you can do with Peerbridge MCP

PeerBridge MCP is a local-first, auditable control room where Codex, Claude Code, Grok, Kimi, provider APIs, and local models work as one governed team on code review and remote work.

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Hoylon/peerbridge-mcp on GitHub

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What do you want to do?

4 use cases

  • Run the provider-free coordination demo

    Run the synthetic demo and check the receipt for writer lease, quorum, and audit results.

    View prompt
    Clone the Hoylon/peerbridge-mcp repo and run examples\demo_workflow.py with --workspace demo-workspace and --scope demo. Report the receipt, and verify that it shows the overlapping second writer rejected and the audit chain verified.

  • Run Implement and Review on one repo from the Windows app

    Use the portable Windows build to have one agent write in a worktree while another reviews.

    View prompt
    Using the Hoylon/peerbridge-mcp portable build, start an Implement + Review operation on <path-to-local-git-repo> with Codex as writer and Claude Code as reviewer. Report the worktree path and the Trust Timeline status, and verify that the review shows no stale-evidence warning.

  • Continue an earlier agent conversation in a writable room

    Import a Codex or Claude Code history and continue it in a normal room without changing the source.

    View prompt
    In the PeerBridge MCP control room, import only the Codex conversation <conversation-id> from the agent history list and use Continue from history to create a writable room. Report the new room ID, and verify that the source room remains read-only.

  • Keep approved project decisions in a source-bound memory ledger

    Save room decisions as memory records that stay tied to their source evidence.

    View prompt
    In the Hoylon/peerbridge-mcp control room, create a Room memory record from the decision in <room-id> and ask a human to approve it as a Project record. Report the record ID and its source SHA, and verify that the record links to the original evidence.

How to use Peerbridge MCP

  1. Check you have what it needs: Python installed for the source demo and source installation; A local Git repository for worktree-based work; Windows x64 for the portable Alpha 6 ZIP build.
  2. Open Hoylon/peerbridge-mcp on GitHub and read the README and license.
  3. git clone https://github.com/Hoylon/peerbridge-mcp (inferred, check the README)
  4. cd peerbridge-mcp (inferred, check the README)
  5. python examples\demo_workflow.py --workspace demo-workspace --scope demo
  6. Read the printed receipt and confirm the overlapping writer was rejected and the audit chain verified with zero writes.

These steps come from our top use case, Run the provider-free coordination demo, which also has a copy-paste agent prompt.

Peerbridge MCP alternatives · Best AI repos for Software and DevOps

About this repo

  • Who it is forEngineers and maintainers who run several coding agents against one repository and need to see who owns each task, what changed, and what was tested.
  • Why it is hot
  • LanguagePython
  • Sourcegithub.com/Hoylon/peerbridge-mcp · Back to Hot repos

Requirements

  • Python installed for the source demo and source installation
  • A local Git repository for worktree-based work
  • Windows x64 for the portable Alpha 6 ZIP build
  • Agent clients or provider accounts you already use, such as Codex or Claude Code, for live runs
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Questions about Peerbridge MCP

What is Peerbridge MCP?

PeerBridge MCP is a local-first, auditable control room where Codex, Claude Code, Grok, Kimi, provider APIs, and local models work as one governed team on code review and remote work. It is an open-source project on GitHub: https://github.com/Hoylon/peerbridge-mcp.

Who is Peerbridge MCP for?

Engineers and maintainers who run several coding agents against one repository and need to see who owns each task, what changed, and what was tested.

What can I do with Peerbridge MCP?

4 use cases so far, for example: Run the provider-free coordination demo; Run Implement and Review on one repo from the Windows app; Continue an earlier agent conversation in a writable room. Each has steps and a copy-paste agent prompt.

What do I need to run Peerbridge MCP?

Python installed for the source demo and source installation; A local Git repository for worktree-based work; Windows x64 for the portable Alpha 6 ZIP build; Agent clients or provider accounts you already use, such as Codex or Claude Code, for live runs.

What are alternatives to Peerbridge MCP?

Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.

Is Peerbridge MCP safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.