Quellgeist Metrics MCP Server

by rajeev-shyam Your server? Claim it

local only

Quellgeist Metrics runs on your own machine — the client starts it, so there is no endpoint to ping. 91 installs a week from pypi. Last commit 20 Jul 2026.

Read-only MCP server: query_metrics over local metric time-series (Quellgeist triage).

Installs per day peak 41 · avg 20 · -26% w/w

a month agotoday

Installs / week

pypi · quellgeist

Stars

0 open issues

20 Jul 2026

Last commit

0 releases in 90 days

MIT

License

Python

Nothing serious here today

Today is the operative word: we check Quellgeist Metrics every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add quellgeist-metrics -- uvx quellgeist

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "quellgeist-metrics": {
      "args": [
        "quellgeist"
      ],
      "command": "uvx"
    }
  }
}

~/.codex/config.toml

[mcp_servers.quellgeist-metrics]
command = "uvx"
args = ["quellgeist"]

.cursor/mcp.json

{
  "mcpServers": {
    "quellgeist-metrics": {
      "args": [
        "quellgeist"
      ],
      "command": "uvx"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "quellgeist-metrics": {
      "args": [
        "quellgeist"
      ],
      "command": "uvx"
    }
  }
}

This one needs environment variables set before it will start: QG_METRICS_PATH (Path to the metric series to read (default: demo/metrics.json, resolved against the working directory).). The author declared them in the registry entry; get the values from the project itself.

Alternatives to Quellgeist Metrics

same job, measured the same way

Quellgeist Commits

by rajeev-shyam

Read-only MCP server: get_recent_commits over a local deploy log (Quellgeist triage).

local only

Quellgeist Logs

by rajeev-shyam

Read-only MCP server: query_logs over a structured JSONL incident log (Quellgeist triage).

local only

Append Log MCP

by bobbyhouse

A generic append-only log MCP server. Persist timestamped JSON entries and query them by recency.

local only

Health Export MCP

by philipad

Query 190 Apple Health metrics from any MCP agent: zero-dependency, read-only, local-first.

119 installs/wk local only

Recharge Merchant MCP

by rechargeapps

Read-only Recharge store analytics: metrics, dimensions, and governed queries in plain language.

answering

SEO Tools: Yandex.Metrica

by antohins

MCP server for Yandex.Metrica Stat API (read-only).

88 installs/wk local only

New Relic MCP Server

by newrelic

Access New Relic observability data through MCP - query metrics, logs, traces, entities, and more

answering

entraadm MCP

by shigechika

MCP server for Microsoft Entra ID sign-in and audit-log triage (read-only)

77 installs/wk local only

Quellgeist Metrics — questions

Answers built from our own checks of this server.

Why is there no uptime for Quellgeist Metrics?

Quellgeist Metrics runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package quellgeist was installed 91 times last week.

How do I connect Quellgeist Metrics?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls quellgeist straight from pypi; nothing to host, nothing to sign up for.

How many people use Quellgeist Metrics?

The pypi package quellgeist was installed 91 times in the last week. Week over week that is -26%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.

Is Quellgeist Metrics open source?

Yes — it is published under the MIT licence, written in Python and 1 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.