handoff-mcp

handoff-mcp

Shared memory hub for LLMs to persist and share project context, enabling seamless handoffs between different AI agents.

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handoff-mcp

handoff-mcp header

MCP server that acts as a shared memory hub across multiple LLMs (Claude, Gemini, Copilot, Codex). Any agent entering a project immediately understands its architecture, patterns, and decisions — and can pick up exactly where the previous LLM left off.

Tools

Tool Description
create_or_get_project Initialize or retrieve a project
save_architecture Save architecture overview and tech stack
get_project_summary Full project overview — perfect as first call
save_context_snapshot Save working state before handing off
get_context_snapshot Retrieve what the previous LLM was doing
list_sessions List all saved sessions
save_code_pattern Save reusable code patterns (JWT, FCM, etc.)
get_code_patterns Retrieve patterns by category/language
save_architectural_decision Save an ADR (why a decision was made)
get_decisions Retrieve architectural decisions
search_context Search across patterns, decisions, and snapshots

Setup

No install needed. Just add the config below to your tool and it runs automatically via bunx.

Requires Bun installed on your machine. Install it with: curl -fsSL https://bun.sh/install | bash

Claude Desktop

File: ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "handoff-mcp": {
      "command": "bunx",
      "args": ["handoff-mcp"]
    }
  }
}

Claude Code

claude mcp add handoff-mcp bunx handoff-mcp

Gemini CLI

File: ~/.gemini/settings.json

{
  "mcpServers": {
    "handoff-mcp": {
      "command": "bunx",
      "args": ["handoff-mcp"]
    }
  }
}

GitHub Copilot (VS Code)

File: .vscode/mcp.json in your workspace

{
  "servers": {
    "handoff-mcp": {
      "type": "stdio",
      "command": "bunx",
      "args": ["handoff-mcp"]
    }
  }
}

OpenAI Codex CLI

File: ~/.codex/config.yaml

mcpServers:
  handoff-mcp:
    command: bunx
    args:
      - handoff-mcp

Shared database (recommended)

By default each tool creates its own context.db in the working directory. To share the same memory across all LLMs, point them all to the same file:

{
  "mcpServers": {
    "handoff-mcp": {
      "command": "bunx",
      "args": ["handoff-mcp"],
      "env": { "DB_PATH": "/Users/you/handoff.db" }
    }
  }
}

Flow

Claude works on the project
→ create_or_get_project("my-app")
→ save_architecture({ description: "React Native + Spring Boot" })

Claude runs low on tokens
→ save_context_snapshot({
    llmModel: "claude-opus-4",
    taskDescription: "Implementing push notifications",
    recentChanges: "FCM handler done",
    nextSteps: "Wire up Foreground Service, test Android 16"
  })

Gemini takes over
→ get_project_summary("my-app")      # full context in one call
→ get_context_snapshot("my-app")     # picks up exactly where Claude stopped
→ continues...

Dev

git clone https://github.com/Juan-Severiano/handoff-mcp
cd handoff-mcp
bun install
bun run dev      # watch mode
bun run inspect  # MCP Inspector
bun run build    # compile to dist/

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