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Synvoya
by Synvoya

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
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

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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