# Framedash Game Telemetry MCP Server

> Framedash Game Telemetry MCP Server — crane-valley-framedash-mcp-server. Use this tool when you need to analyze game performance and player behavior, solving problems such as identifying areas of improvement, optimizing gameplay, and detecting issues. It provides inputs such as game data and outputs like analytics, heatmaps, and alerts, allowing for data-driven decision making. Ideal for game developers using Unity, Unreal Engine 5, or Godot, looking to query and leverage game telemetry data from AI agents like Claude.

Canonical page: https://skillsregistry.net/skills/crane-valley-framedash-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/crane-valley-framedash-mcp-server

## Description

MCP server for Framedash game telemetry -- query game analytics, heatmaps, perf regressions, retention, and alerts from Claude and other AI agents. Works with Unity, Unreal Engine 5, and Godot projects.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y41thtm32t)
- **Repository:** <https://github.com/crane-valley/framedash-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": "crane-valley-framedash-mcp-server"
    }
  }
}
```

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

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