Cerebro MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| create_sessionA | Create a new Cerebro session and project workspace |
| resume_sessionB | Resume an existing session using a handover token |
| pause_sessionB | Pause an active session for later resumption |
| end_sessionB | Complete and archive a session |
| list_sessionsA | List all active, paused, and recent sessions |
| execute_taskC | Send a task to the appropriate worker or agent for execution |
| quick_taskA | The easiest way to use Cerebro — just describe what you want built or fixed. Auto-creates a session, picks the right CLI provider, and executes. Use this when the user says things like 'build me a website' or 'fix this bug' or 'review this code' without specifying sessions or agents. If no projectPath is given, ask the user where to save files. |
| read_projectA | Read the project folder structure and file contents. Use this to understand a codebase before making changes. Returns directory tree and optionally file contents for specified files or all files. |
| get_statusC | Get current project progress and task status |
| review_codeC | Get a human-friendly explanation of code changes |
| run_buildC | Trigger a project build and return results |
| run_testsC | Run the test suite and return results |
| create_agentB | Define a new specialist agent via natural language description |
| list_agentsA | Show all agents in the current session with their status |
| update_agentB | Modify an existing agent's definition, skills, or preferences |
| remove_agentB | Delete an agent from the swarm |
| get_agent_statusB | Get detailed status and history for a specific agent |
| install_agent_packA | Install pre-built agent templates from the marketplace |
| delegate_to_agentA | Explicitly route a task to a specific agent, overriding auto-routing |
| analyze_imageA | Interpret an image and suggest actions. How it works: the user uploads an image to Chat, Chat (Claude) sees and describes it, then calls this tool with the description. No API key needed — Chat IS the vision layer. |
| implement_from_imageA | Build or fix code based on an image. Chat sees the image, describes it, and this tool sends the description to a CLI worker to implement. Works for: screenshots of bugs to fix, mockups to build, error messages to resolve. |
| compare_screenshotsB | Visual diff between expected and actual. Chat compares two images and describes the differences, then this tool structures the findings and can trigger fixes. |
| prepare_handoverA | Generate a signed handover token for session continuity across chats |
| validate_tokenC | Check if a handover token is valid |
| get_context_healthA | Report current context window usage and handover readiness |
| configure_workersA | Configure which CLI tools handle which tasks. Say 'Use Claude for coding and Codex for testing' or 'Set Aider as default' |
| detect_providersA | Detect which CLI coding tools are installed and available on this system |
| configure_modelA | Set model, effort level, and terminal mode. Say 'Use Opus for coding' or 'Set high effort' or 'Run in background mode' |
| start_context_watcherA | Open a persistent terminal showing real-time token usage. Tracks every Cerebro tool call with estimated tokens and handover recommendation. |
| stop_context_watcherA | Stop the Context Watcher and close terminal. Tracking data preserved. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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