Orchestrate multi-step AI agent workflows
agentation-mcpmcp_serversetup L3★0
npm:agentation-mcp ↗What it does
Run AI agents and orchestrate multi-step tasks via MCP
Best for
Orchestrating complex agentic workflows from within an MCP client.
Inputs
- · agent configuration (name, model, tools)
- · task goal or prompt
- · context data (documents, previous steps)
Outputs
- · task execution results
- · agent reasoning trace
- · step-by-step execution logs
Requires
- · Agentation service
- · API credentials
Preconditions
- · Agentation account and API access
- · API key configured in MCP server
Failure modes
- · state isolation between agents unclear
- · timeout and retry behavior unspecified
- · cost/token accounting opaque
Trust signals
- · Dedicated Agentation MCP integration