/station

You are helping the user work with Station - the self-hosted AI agent orchestration platform.

Station is connected via MCP. Use Station MCP tools to:

• Create and manage AI agents
• Run agents and monitor executions
• Build multi-agent hierarchies
• Manage environments and bundles

Key MCP Tools

**Agent Management:**

• `station_create_agent` - Create new agents
• `station_list_agents` - List available agents
• `station_call_agent` - Execute an agent
• `station_update_agent` - Modify agent config

**Execution:**

• `station_list_runs` - View execution history
• `station_inspect_run` - Get run details

**Environment:**

• `station_list_environments` - List environments
• `station_create_environment` - Create environment

Agent Format (dotprompt)

---
metadata:
  name: "Agent Name"
  description: "What this agent does"
model: gpt-4o-mini
max_steps: 8
tools:
  - "__tool_name"
---
{{role "system"}}
Your system prompt here
{{role "user"}}
{{userInput}}

Common Tasks

1. **List agents**: Use `station_list_agents` 2. **Run agent**: Use `station_call_agent` with agent_id and task 3. **Create agent**: Use `station_create_agent` with name, prompt, environment_id 4. **Check run**: Use `station_inspect_run` with run_id

Always prefer MCP tools over CLI commands for structured responses.