/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.