# Freshservice MCP Server

> Freshservice MCP Server — tannertm0-freshservice-mcp. Use this tool when you need to integrate AI-powered support with IT service management, enabling natural language interactions for managing tickets, assets, and organizational data. It solves problems such as automating service desk tasks, streamlining ticket management, and providing effortless access to ITSM data. The Freshservice MCP Server accepts natural language inputs and returns relevant data and records, making it ideal for use cases that require seamless AI-driven ITSM interactions.

Canonical page: https://skillsregistry.net/skills/tannertm0-freshservice-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tannertm0-freshservice-mcp

## Description

Enables AI assistants to connect with Freshservice ITSM for managing tickets, assets, agents, and organizational data through natural language. It provides a comprehensive set of tools for performing CRUD operations on service desk records and searching across the Freshservice platform.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z466zkim3v)
- **Repository:** <https://github.com/tannertm0/freshservice-mcp>

## 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": "tannertm0-freshservice-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tannertm0-freshservice-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tannertm0-freshservice-mcp/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