# BackCrew GoHighLevel MCP Server

> BackCrew GoHighLevel MCP Server — jayson-svg-backcrew-mcp-gohighlevel. Use this tool when you need to integrate AI-powered automation with GoHighLevel CRM, enabling natural language interactions for tasks like lead management, messaging, and calendar operations. It solves problems related to manual data entry, pipeline management, and customer communication, providing a read-only interface by default. This tool is ideal for use cases requiring seamless AI-CRM interaction, accepting natural language inputs and generating relevant outputs for efficient workflow management.

Canonical page: https://skillsregistry.net/skills/jayson-svg-backcrew-mcp-gohighlevel  
JSON: https://api.skillsregistry.net/v1/skills/jayson-svg-backcrew-mcp-gohighlevel

## Description

Enables AI assistants to interact with GoHighLevel CRM via natural language for lead lookup, pipeline management, messaging, and calendar operations, with read-only mode by default.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zjs56i8kty)
- **Repository:** <https://github.com/jayson-svg/backcrew-mcp-gohighlevel>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jayson-svg-backcrew-mcp-gohighlevel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jayson-svg-backcrew-mcp-gohighlevel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jayson-svg-backcrew-mcp-gohighlevel/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt