Right now, the HighLevel MCP server exposes operational data well, but falls short on configuration objects—specifically Workflows.

To unlock true agentic workflows, an AI (via Claude Code, Cursor, or local agents) shouldn't just read lead status—it should be able to audit, construct, modify, and execute entire workflow engines based on desired outcomes.

The Problem

Currently, building or updating complex automation requires manual click-and-drag in the builder or writing static setup scripts. The AI knows what outcome needs to happen (e.g., "Set up a 3-touch follow-up for abandoned calls, tag as Cold Lead after 48h, and notify assigned user"), but it lacks the tool definitions in MCP to build or alter the workflow logic itself.

Key Capabilities Requested

Full CRUD for Workflows via MCP:

Create: Ability to programmatically instantiate workflows via structured JSON schema (triggers, actions, branching logic, delays, conditional paths).

Read/Inspect: Parse existing workflow structures, check active triggers, and map out node connections for AI code/logic audits.

Update/Modify: Dynamically append nodes, update email copy, adjust time delays, or modify branch logic programmatically.

Analyze/Debug: Expose logs and execution paths so an AI agent can diagnose why a workflow stalled or where a lead dropped off.

Outcome-Driven Execution ("Goal-Based Engine"):

Allow AI agents to operate on target states rather than manual step-by-step assembly.

Example: Feed the MCP a target goal (Outcome: Re-engage leads inactive for 30+ days using SMS + Email), and allow the AI agent to draft, validate schema, and publish the complete workflow directly to the sub-account.

Snapshot & JSON Export/Import Tooling:

Enable MCP tools to read workflow templates from JSON, convert existing sub-account workflows into portable JSON objects, and push validated schemas seamlessly.

Impact

This turns the HighLevel MCP from a basic data query interface into an autonomous agency co-pilot—allowing developers and agency owners to automate client onboarding, build custom snapshot tools, and let AI maintain workflow architecture automatically.