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zarcherlot/code-relay

by Various

[](https://glama.ai/mcp/servers/zarcherlot/code-relay) 🏎️ 🏠 🍎 πŸͺŸ 🐧 - Branch-scoped runbooks and cross-machine verification with auditable receipts for coding agents.

MCP

zarcherlot/code-relay

Added 8 Sept 2026

Overview

Branch-scoped runbooks for coding agents, enabling cross-machine verification with auditable receipts. Written in Go, it helps coordinate and verify agent actions across different environments.

Best for

Best for
Teams using coding agents that need verifiable, branch-scoped runbooks across machines.

Use cases

  • Run branch-specific verification steps
  • Generate auditable receipts for agent actions
  • Coordinate coding agents across machines

How to use

Install

npx -y code-relay-mcp@latest install --client codex

Tools exposed

  • bind_project
  • create_checkpoint_invite
  • join_checkpoint
  • watcher_status
  • stop_watcher
  • publish_runbook
  • fetch_receipt

Tested with

Claude Code, Cursor, VS Code

Notes

Branch-scoped runbooks for coding agents, enabling cross-machine verification with auditable receipts. Written in Go, it helps coordinate and verify agent actions across different environments.

0 stars on GitHub. Last updated 2026-09-01. Licensed MIT.

Use cases

  • Run branch-specific verification steps
  • Generate auditable receipts for agent actions
  • Coordinate coding agents across machines

Pros

  • Branch scoping keeps runbooks tied to specific code states
  • Auditable receipts provide a clear trail of agent activity
  • Cross-machine verification catches environment-specific issues

Cons

  • No public adoption signals (0 stars)
  • Feature set beyond branch-scoped runbooks is undocumented
  • May require custom integration with existing agent workflows

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Branch scoping keeps runbooks tied to specific code states
  • Auditable receipts provide a clear trail of agent activity
  • Cross-machine verification catches environment-specific issues

Cons

  • No public adoption signals (0 stars)
  • Feature set beyond branch-scoped runbooks is undocumented
  • May require custom integration with existing agent workflows
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