# BackCrew GorillaDesk MCP Server

> BackCrew GorillaDesk MCP Server — jayson-svg-backcrew-mcp-gorilladesk. Use this tool when you need to manage customer records, users, and company data in GorillaDesk through natural language interactions. It solves problems such as data retrieval, customer onboarding, and note-taking, and accepts natural language inputs to output updated customer information, company data, and user details. Ideal for use cases where AI assistants require seamless integration with GorillaDesk to streamline customer management tasks.

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

## Description

Enables AI assistants to manage GorillaDesk customer records, users, and company data through natural language interactions. Supports listing, creating, and updating customers, adding notes, and retrieving company and user information.

## 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:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fe26mtiecz)
- **Repository:** <https://github.com/jayson-svg/backcrew-mcp-gorilladesk>

## 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-gorilladesk"
    }
  }
}
```

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