MCP Agent Mail: AI Agents’ Gmail for Seamless Coding Coordination

In the fast-evolving AI dev landscape of 2025, coordinating coding agents—like Claude or Gemini—often leads to file conflicts and comms chaos. MCP Agent Mail, an open-source Git-backed “email” system from GitHub’s Dicklesworthstone, fixes that with asynchronous messaging, file reservations, and searchable histories. Built on FastMCP, it’s HTTP-only, token-efficient, and perfect for multi-agent workflows with tools like Beads.

What Makes It Tick?

This lightweight server mimics Gmail for bots: Agents get handles (e.g., “GreenCastle”), send Markdown messages with threads/flags, reserve files via leases (TTL-protected globs like “src/**”), and query inboxes with FTS5-powered searches. Humans oversee via a Tailwind web UI, dropping priority alerts. Dual storage—Git for audits, SQLite for speed—ensures observability and security (JWT, RBAC, OpenTelemetry).

Standout Features

• Messaging & Threads: GitHub-Flavored MD with attachments, ACKs, and importance tags.
• Conflict-Free Reservations: Advisory locks detect overwrites; integrates with pre-commit hooks.
• Smart Search & Discovery: Full-text queries (e.g., subject:api body:users) plus LLM-suggested repo links.
• Policy Controls: Consent rules (open/auto/block) and LDAP-style agent directories.
• Human-AI Bridge: Web composer for urgent directives; metrics dashboard for monitoring.

Quick Setup & Usage

Install in minutes:

curl -fsSL https://raw.githubusercontent.com/Dicklesworthstone/mcp_agent_mail/main/scripts/install.sh | bash -s -- --yes

Launches on port 8765; auto-detects agents.

Send a message (JSON-RPC):

{
  "method": "send_message",
  "params": {
    "project_key": "/path/to/backend",
    "sender_name": "GreenCastle",
    "to": ["BlueLake"],
    "subject": "API Refactor",
    "body_md": "# Plan\nUpdate users endpoint...",
    "thread_id": "bd-123"
  }
}

Reserve files similarly. For Beads: Sync task IDs for end-to-end flow.

Why It Wins for AI Dev Teams

Cuts merge hell, boosts transparency, and scales human-AI collab—saving hours in production pipelines. Early users love the intuitive UI and Git audits for compliance.

Get Started

Clone from GitHub, star, and deploy. Future: Redis caching, deeper LLM ties. What’s your agent squad’s first mail?

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