TelemetryDeck
БесплатноНе проверенTelemetryDeck analytics API integration for querying app telemetry data with TQL.
Описание
TelemetryDeck analytics API integration for querying app telemetry data with TQL.
README
An MCP server that wraps the TelemetryDeck analytics API, allowing Claude to query app telemetry data and run analytics using TQL (TelemetryDeck Query Language).
Installation
Claude Code
claude mcp add telemetrydeck --transport http https://mcp-builder.de/telemetry/mcp
Claude Desktop
Add to your Claude Desktop config (claude_desktop_config.json):
{
"mcpServers": {
"telemetrydeck": {
"command": "uv",
"args": ["run", "--directory", "/path/to/telemetry", "telemetry-deck-mcp"]
}
}
}
Install the bundled skill (optional)
This repo ships a Claude Code skill at skills/telemetrydeck/SKILL.md that wraps the MCP tools with a guided workflow: it offers to auto-install the TelemetryDeck MCP (and chrome-devtools MCP, if Google sign-in is needed), drives the login, and writes TQL queries from natural-language questions.
The skill is one self-contained file. To install it on your machine, fetch it directly:
# Windows (PowerShell)
New-Item -ItemType Directory -Force "$env:USERPROFILE\.claude\skills\telemetrydeck" | Out-Null
Invoke-WebRequest -OutFile "$env:USERPROFILE\.claude\skills\telemetrydeck\SKILL.md" `
https://raw.githubusercontent.com/faaak2/mcp-telemetry/main/skills/telemetrydeck/SKILL.md
# macOS / Linux
mkdir -p ~/.claude/skills/telemetrydeck
curl -o ~/.claude/skills/telemetrydeck/SKILL.md \
https://raw.githubusercontent.com/faaak2/mcp-telemetry/main/skills/telemetrydeck/SKILL.md
Or if you have the repo cloned: cp skills/telemetrydeck/SKILL.md ~/.claude/skills/telemetrydeck/SKILL.md.
Restart Claude Code, then ask things like "show me yesterday's signups on Web Player" or "DAU on iOS this week" — the skill triggers and walks the rest of the setup.
Running the Server
Prerequisites
- Python >= 3.11
- uv
Install dependencies
uv sync
Start the server
uv run telemetry-deck-mcp
The server starts on http://0.0.0.0:8083 using streamable HTTP transport.
Run as a systemd service
A service file is included for running the server in production. Copy and enable it:
sudo cp telemetry-deck-mcp.service /etc/systemd/system/
sudo systemctl enable --now telemetry-deck-mcp
Reverse proxy
The server is designed to sit behind a reverse proxy (e.g. Caddy) at a path like /telemetry/. Example Caddy config:
mcp-builder.de {
handle /telemetry/* {
uri strip_prefix /telemetry
reverse_proxy localhost:8083
}
}
Tools
get_tql_guide
Return the TQL (TelemetryDeck Query Language) reference. Has no parameters. Call this once per session before constructing queries.
list_apps
List the apps available for querying. Has no parameters. Returns a JSON array of {appId, appName} objects, one per *-StructuralData.json file bundled in the package.
get_app_structure
Return the StructuralData (events + parameters + description) for a given app.
Parameters:
| Name | Type | Description |
|---|---|---|
app_id |
string | The TelemetryDeck app ID (from list_apps) |
run_query
Execute a TQL query against TelemetryDeck. Pass a full TQL JSON object — supports timeseries, topN, groupBy, funnel, retention, scan, and experiment query types.
Parameters:
| Name | Type | Description |
|---|---|---|
bearer_token |
string | Your TelemetryDeck bearer token |
app_id |
string | The TelemetryDeck app ID to query |
query |
object | Full TQL query object |
Example query:
{
"queryType": "timeseries",
"dataSource": "CalculatedSignals",
"filter": {
"type": "selector",
"dimension": "appID",
"value": "<app_id>"
},
"aggregations": [
{"type": "count", "name": "count"}
],
"granularity": "day",
"intervals": ["2025-01-01/2025-01-31"]
}
get_insight_query
Retrieve the TQL query object for a saved insight by its ID. Useful for inspecting or re-executing saved insights.
Parameters:
| Name | Type | Description |
|---|---|---|
bearer_token |
string | Your TelemetryDeck bearer token |
app_id |
string | The TelemetryDeck app ID |
insight_id |
string | UUID of the saved insight |
days_back |
int | Number of days to look back (default: 30) |
Authentication
run_query and get_insight_query require bearer_token and app_id. The reference tools (get_tql_guide, list_apps, get_app_structure) take no authentication. Get your bearer token from the TelemetryDeck dashboard or via the login tool.
Testing
Use the MCP Inspector to test the server interactively:
uv run mcp dev src/telemetry_deck_mcp/server.py
Установка TelemetryDeck
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/faaak2/mcp-telemetryFAQ
TelemetryDeck MCP бесплатный?
Да, TelemetryDeck MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для TelemetryDeck?
Нет, TelemetryDeck работает без API-ключей и переменных окружения.
TelemetryDeck — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить TelemetryDeck в Claude Desktop, Claude Code или Cursor?
Открой TelemetryDeck на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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