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Framedash MCP Server

by crane-valleyversion 0.2.0i★ –iRuns on your computer
Registry nameio.github.crane-valley/framedash-mcp-server

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Marketing & social media
  • You need to fill in: FRAMEDASH_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: FRAMEDASH_API_KEY, FRAMEDASH_PROJECT_ID, FRAMEDASH_BASE_URL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "framedash": {
      "command": "npx",
      "args": [
        "-y",
        "@framedash/mcp-server"
      ],
      "env": {
        "FRAMEDASH_API_KEY": "your-value",
        "FRAMEDASH_PROJECT_ID": "your-value",
        "FRAMEDASH_BASE_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add framedash --env FRAMEDASH_API_KEY=your-value --env FRAMEDASH_PROJECT_ID=your-value --env FRAMEDASH_BASE_URL=your-value -- npx -y @framedash/mcp-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "framedash": {
      "command": "npx",
      "args": [
        "-y",
        "@framedash/mcp-server"
      ],
      "env": {
        "FRAMEDASH_API_KEY": "your-value",
        "FRAMEDASH_PROJECT_ID": "your-value",
        "FRAMEDASH_BASE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "framedash": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@framedash/mcp-server"
      ],
      "env": {
        "FRAMEDASH_API_KEY": "your-value",
        "FRAMEDASH_PROJECT_ID": "your-value",
        "FRAMEDASH_BASE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • FRAMEDASH_API_KEY secret required env
    Framedash API key. Create one on your project's API Keys page at https://app.framedash.dev.
  • FRAMEDASH_PROJECT_ID env
    Default project id. When unset, project-scoped tools require a project_id argument.
  • FRAMEDASH_BASE_URL env
    API base URL. Defaults to https://app.framedash.dev.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account crane-valley, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Marketing & social mediai

  • More stars than 0% of the other 3567 servers in this category
  • Published to the registry more recently than 89% of the other 3567 servers in this category
  • Basic checks equal to or better than 100% of the other 3567 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Framedash MCP Server safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: FRAMEDASH_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 3 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@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

VariableRequiredDescription
FRAMEDASH_API_KEYYesAPI key with analytics:read for the aggregate tools; the raw query tool additionally requires data:admin
FRAMEDASH_PROJECT_IDNoDefault project UUID for project-scoped tools
FRAMEDASH_BASE_URLNoAPI 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

ToolDescription
queryExecute SQL analytics query (SELECT only, limit default 100)
get_dashboardProject KPI summary (DAU, MAU, sessions, events)
get_retentionCohort retention data
get_funnelFunnel analysis for event steps
get_insightsEvent insights with grouping
get_heatmapHeatmap grid data for a map
list_projectsShow the project bound to the API key
get_project_statusProject health overview
list_mapsList maps in a project
list_contentList content registry entries
list_alertsList alert rules
get_alert_historyAlert trigger history

Resources

URIDescription
framedash://projectsProject bound to the API key
framedash://projects/{projectId}/mapsMap list with bounds
framedash://projects/{projectId}/contentContent registry
framedash://projects/{projectId}/statusProject health status

Hosted HTTP compatibility

The stateless hosted HTTP endpoint /api/mcp rejects request batches containing more than 100 messages with HTTP 400 and JSON-RPC error code -32600. This limit applies per POST request and is separate from the existing 1 MiB request-body limit. The independent stdio transport remains unaffected.

To accommodate this bound, update clients to split message batches into groups of at most 100 messages, or transmit messages as individual POST requests.

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

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