# Vitally MCP Server

> Use this tool when you need to access and manage customer success data through natural language interactions, solving problems such as account and user search, health score tracking, and conversation management. It provides inputs such as search queries and natural language commands, and outputs including account information, health scores, and task management data. Ideal for use cases requiring efficient customer success platform data access and management.

Canonical page: https://skillsregistry.net/skills/fiscaltec-vitally-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fiscaltec-vitally-mcp

## Description

Provides access to Vitally customer success platform data, enabling users to search accounts and users, view health scores, manage conversations and tasks, and create notes through natural language interactions.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wgbonqhr07)
- **Repository:** <https://github.com/fiscaltec/vitally-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": "fiscaltec-vitally-mcp"
    }
  }
}
```

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