# passalong MCP server

> Hand tasks, bugs, and completed work to AI coding agents and receive write-ups with evidence.

- Repository: https://github.com/codellyson/passalong
- Page: https://hostedmcp.org/servers/codellyson/passalong
- Transport: stdio, remote
- Stars: 0
- License: MIT
- Latest version: 0.13.1

## Install

### Claude Code

```sh
claude mcp add passalong -- npx -y passalong
```

### Cursor (`~/.cursor/mcp.json`)

```json
{
  "mcpServers": {
    "passalong": {
      "command": "npx",
      "args": [
        "-y",
        "passalong"
      ]
    }
  }
}
```

### VS Code (`.vscode/mcp.json`)

```json
{
  "servers": {
    "passalong": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "passalong"
      ]
    }
  }
}
```

### VS Code CLI

```sh
code --add-mcp '{"name":"passalong","type":"stdio","command":"npx","args":["-y","passalong"]}'
```

### Claude Desktop (`claude_desktop_config.json`)

```json
{
  "mcpServers": {
    "passalong": {
      "command": "npx",
      "args": [
        "-y",
        "passalong"
      ]
    }
  }
}
```

### Codex

```sh
codex mcp add passalong -- npx -y passalong
```

### Codex config.toml (`~/.codex/config.toml`)

```toml
[mcp_servers.passalong]
command = "npx"
args = ["-y", "passalong"]
```

### Gemini CLI

```sh
gemini mcp add -s user passalong npx -- -y passalong
```

### Gemini settings.json (`~/.gemini/settings.json`)

```json
{
  "mcpServers": {
    "passalong": {
      "command": "npx",
      "args": [
        "-y",
        "passalong"
      ]
    }
  }
}
```

## FAQ

### How do I use passalong with Claude Code?

You can register the server with Claude Code by running the command `passalong setup`.

### What tools are available through the MCP interface?

The MCP server provides seventeen tools categorized into Work, Projects and documents, Files, and Accounts.

### Can I use passalong with other AI clients?

Yes, it works with Codex, ChatGPT, Claude, or any client that supports MCP or HTTP.

### How is work data stored?

Work is stored as plain markdown with frontmatter on the server, so nothing accumulates on your local machine.