# FS_MCP_thin

> Use this tool when you need to integrate AI assistants with Freshservice Service Desk for efficient ticket management and analysis. It connects AI agents to the service desk, enabling them to perform ticket triage, asset analysis, and summarize support history. This read-only server provides a seamless interface for AI assistants to access and process service desk data.

Canonical page: https://skillsregistry.net/skills/cbreland-dlr-fs-mcp-thin  
JSON: https://api.skillsregistry.net/v1/skills/cbreland-dlr-fs-mcp-thin

## Description

A read-only MCP server that connects AI assistants to Freshservice Service Desk for ticket triage, asset analysis, and support history summarization.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tbst2qjn5c)
- **Repository:** <https://github.com/cbreland-DLR/FS_MCP_thin>

## 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": "cbreland-dlr-fs-mcp-thin"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cbreland-dlr-fs-mcp-thin` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cbreland-dlr-fs-mcp-thin/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