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Exposing Workflows as AI Tools
Turn workflow automations into callable tools for LLM agents
This project packages repeatable workflows as AI-callable tools so agents can trigger deterministic business automations from conversation context.
n8nMCP/Tooling LayerAPI GatewayObservabilityVector/Memory Store
Project Goals
- • Map workflow inputs/outputs to tool schemas for reliable invocation.
- • Enable reusable, composable business operations for multiple agents.
- • Improve observability of agent-triggered automations.
Core Capabilities
- Tool schema generation from workflow definitions
- Validation and typed parameter binding
- Runtime tracing and failure recovery
- Role-based access controls per workflow
- Usage analytics for tool performance
Architecture Outline
- 1.Workflow registry stores callable workflow metadata.
- 2.Tool adapter exposes workflow endpoints with strict schemas.
- 3.Agent runtime selects tools via reasoning + retrieval context.
- 4.Execution bus runs workflow and streams status updates.
- 5.Monitoring service tracks latency, failures, and token/tool usage.
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Tool catalog screen with workflow cards
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Schema mapping editor (input/output contract)
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Execution trace view showing agent -> tool -> workflow
Video Placeholders
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Demo: agent calls CRM enrichment workflow
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Demo: multi-step chained workflow execution
Links
Tutorial
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GitHub Repository
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Sample Workflow Pack
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