How do I install Framedash?

Framedash is a local plugin. Install it using npm package: @framedash/mcp-server and add the generated configuration snippet to your AI app's MCP config file. Then restart your AI app.

Is Framedash safe to use?

Yes. Framedash passed MCP Marketplace's automated security scan with a score of 10/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What credentials does Framedash need?

Framedash requires the following credentials or environment variables: FRAMEDASH_API_KEY, FRAMEDASH_PROJECT_ID, FRAMEDASH_BASE_URL. You can find setup instructions on the server detail page.

What AI apps work with Framedash?

Framedash uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Framedash MCP Server

by Crane Valley

Developer ToolsLow Risk10.0MCP RegistryLocal

Free

Server data from the Official MCP Registry

MCP server for Framedash game telemetry: query analytics, heatmaps, perf regressions, and alerts

About

MCP server for Framedash game telemetry: query analytics, heatmaps, perf regressions, and alerts

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (2 strong, 4 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.

12 files analyzed · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

file_system

Check that this permission is expected for this type of plugin.

env_vars

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

Framedash API key. Create one on your project's API Keys page at https://app.framedash.dev.Required

Environment variable: FRAMEDASH_API_KEY

Default project id. When unset, project-scoped tools require a project_id argument.Optional

Environment variable: FRAMEDASH_PROJECT_ID

API base URL. Defaults to https://app.framedash.dev.Optional

Environment variable: FRAMEDASH_BASE_URL

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-crane-valley-framedash-mcp-server": {
      "env": {
        "FRAMEDASH_API_KEY": "your-framedash-api-key-here",
        "FRAMEDASH_BASE_URL": "your-framedash-base-url-here",
        "FRAMEDASH_PROJECT_ID": "your-framedash-project-id-here"
      },
      "args": [
        "-y",
        "@framedash/mcp-server"
      ],
      "command": "npx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

@framedash/mcp-server

MCP (Model Context Protocol) server for the Framedash game telemetry platform. Provides 12 read-only tools and 4 resources for querying analytics data from LLM-powered tools.

Setup

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "framedash": {
      "command": "npx",
      "args": ["@framedash/mcp-server"],
      "env": {
        "FRAMEDASH_API_KEY": "fd_xxx",
        "FRAMEDASH_PROJECT_ID": "your-project-uuid"
      }
    }
  }
}

VS Code (Claude Extension)

Add to your VS Code settings:

{
  "claude.mcpServers": {
    "framedash": {
      "command": "npx",
      "args": ["@framedash/mcp-server"],
      "env": {
        "FRAMEDASH_API_KEY": "fd_xxx",
        "FRAMEDASH_PROJECT_ID": "your-project-uuid"
      }
    }
  }
}

Environment Variables

Variable	Required	Description
`FRAMEDASH_API_KEY`	Yes	API key with `analytics:read` for the aggregate tools; the raw `query` tool additionally requires `data:admin`
`FRAMEDASH_PROJECT_ID`	No	Default project UUID for project-scoped tools
`FRAMEDASH_BASE_URL`	No	API base URL (default: `https://app.framedash.dev`)

If FRAMEDASH_PROJECT_ID is omitted, project-scoped tools still work but require an explicit project_id argument per call.

Tools

Tool	Description
`query`	Execute SQL analytics query (SELECT only, limit default 100)
`get_dashboard`	Project KPI summary (DAU, MAU, sessions, events)
`get_retention`	Cohort retention data
`get_funnel`	Funnel analysis for event steps
`get_insights`	Event insights with grouping
`get_heatmap`	Heatmap grid data for a map
`list_projects`	Show the project bound to the API key
`get_project_status`	Project health overview
`list_maps`	List maps in a project
`list_content`	List content registry entries
`list_alerts`	List alert rules
`get_alert_history`	Alert trigger history

Resources

URI	Description
`framedash://projects`	Project bound to the API key
`framedash://projects/{projectId}/maps`	Map list with bounds
`framedash://projects/{projectId}/content`	Content registry
`framedash://projects/{projectId}/status`	Project health status

Development

Run from the repository root:

pnpm install
pnpm --filter @framedash/mcp-server... build
pnpm --filter @framedash/mcp-server test

With pnpm 9, the trailing ... selects the MCP package plus its workspace dependencies, including @framedash/api-client, before compiling from a clean checkout.

License

MIT

Reviews

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Framedash MCP Server

About

Security Report

Findings (1)

Permissions Required

What You'll Need

How to Install

Documentation

@framedash/mcp-server

Setup

Claude Desktop

VS Code (Claude Extension)

Environment Variables

Tools

Resources

Development

License

Reviews

No reviews yet

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