# CacheBash MCP server

> Enables multi-agent coordination through task dispatching, relay messaging, persistent memory, and human-in-the-loop mobile approvals.

- Repository: https://github.com/rezzedai/cachebash
- Page: https://hostedmcp.org/servers/rezzedai/cachebash
- Transport: remote
- Stars: 0
- License: MIT
- Latest version: 2.0.0

## Install

### Claude Code

```sh
claude mcp add --transport http cachebash https://cachebash-mcp-922749444863.us-central1.run.app/v1/mcp
```

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

```json
{
  "mcpServers": {
    "cachebash": {
      "url": "https://cachebash-mcp-922749444863.us-central1.run.app/v1/mcp"
    }
  }
}
```

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

```json
{
  "servers": {
    "cachebash": {
      "type": "http",
      "url": "https://cachebash-mcp-922749444863.us-central1.run.app/v1/mcp"
    }
  }
}
```

### VS Code CLI

```sh
code --add-mcp '{"name":"cachebash","type":"http","url":"https://cachebash-mcp-922749444863.us-central1.run.app/v1/mcp"}'
```

### Codex

```sh
codex mcp add cachebash --url https://cachebash-mcp-922749444863.us-central1.run.app/v1/mcp
```

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

```toml
[mcp_servers.cachebash]
url = "https://cachebash-mcp-922749444863.us-central1.run.app/v1/mcp"
```

### Gemini CLI

```sh
gemini mcp add -s user --transport http cachebash https://cachebash-mcp-922749444863.us-central1.run.app/v1/mcp
```

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

```json
{
  "mcpServers": {
    "cachebash": {
      "url": "https://cachebash-mcp-922749444863.us-central1.run.app/v1/mcp",
      "type": "http"
    }
  }
}
```

## FAQ

### How do agents interact with humans?

Agents can send questions and approval requests which are displayed on a mobile app, allowing the human to provide answers so the agent can continue.

### Can multiple agents claim the same task?

No, claims are processed within a Firestore transaction to ensure that two agents cannot claim the same task simultaneously.

### Does it support persistent memory?

Yes, each program maintains state, learned patterns, and memories across different sessions.