MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
MCP server for Framedash game telemetry: query analytics, heatmaps, perf regressions, and alerts
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
FRAMEDASH_API_KEY, FRAMEDASH_PROJECT_ID, FRAMEDASH_BASE_URLValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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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-serverFill in the empty values before running it.
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.
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.
FRAMEDASH_PROJECT_ID envFRAMEDASH_BASE_URL envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account crane-valley, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: FRAMEDASH_API_KEY
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).
The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 3 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
An MCP server retrieving transcripts of YouTube videos
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
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.
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.
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" } } } }
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" } } } }
| 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.
| 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 |
| 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 |
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.
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.
MIT