# PlayFab MCP Server

> Use this tool when you need to integrate large language models with Azure Cosmos DB data, enabling AI assistants to retrieve and manipulate data through natural language queries. It solves problems of data accessibility and complexity by acting as a translator between LLMs and your database. The PlayFab MCP Server takes natural language inputs and returns relevant data outputs, ideal for use cases where human-like interaction with database data is required.

Canonical page: https://skillsregistry.net/skills/akiojin-playfab-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/akiojin-playfab-mcp-server

## Description

A server that enables LLMs (like Claude and VSCode Copilot) to interact with Azure Cosmos DB data through natural language queries, acting as a translator between AI assistants and your database.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z32uydy6f6)
- **Repository:** <https://github.com/akiojin/playfab-mcp-server>

## 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": "akiojin-playfab-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/akiojin-playfab-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/akiojin-playfab-mcp-server/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