handoff-mcp

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/