Spec Driven Development
by formulahendry
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Runs on your computer★ 440MITUpdated 14 months ago
Install
prom-mcp
Overview
Description from the maker (original English)
Prometheus MCP server for AI agents: PromQL queries, alert explanations, series discovery.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
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: Other
- You need to fill in: PROM_TOKEN
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:
PROM_URL,PROM_TOKEN,PROM_TIMEOUT
Values marked secret are keys to your account. Never share them or paste them into a chat.
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Download the maker’s .mcpb file
The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.
Run this in your terminal
Fill in the empty values before running it.
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.
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
PROM_URLenvBase URL of your Prometheus server.- Bearer token for an auth-protected Prometheus. Leave empty if not needed.
PROM_TIMEOUTenvTimeout for Prometheus requests, e.g. 15s or 30s.
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 6, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account aniketatgithub, 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 Otheri
- More stars than 0% of the other 32489 servers in this category
- Published to the registry more recently than 59% of the other 32489 servers in this category
- Basic checks equal to or better than 100% of the other 32489 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 prom-mcp 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: PROM_TOKEN
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 28 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, Whisper
Alternatives
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
Remote Desktop Commander
by desktop-commander
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Runs in the cloud★ 211Updated yesterday
Install
Whisper
by whisper-sec
One routable IPv6 per AI agent, verifiable from the DNS root. Keyless tools need no signup.
Computer or cloudUpdated today
Install
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.
prom-mcp — Prometheus MCP Server for AI Agents (Claude Code, Cursor)
prom-mcp is a Prometheus MCP server (Model Context Protocol) that gives AI agents production-grade eyes on your metrics. Connect Claude Code, Cursor, or any MCP client to Prometheus and let the agent run PromQL queries, explain firing alerts with their rule definitions, and discover which series actually exist before querying — so it investigates instead of guessing.
Built by a production engineer who works on-call, so the output reads like a triage note, not a raw JSON dump.
5 tools • 2 resources • 1 triage prompt • single Go binary • zero dependencies • stdio
Install
Claude Desktop (MCPB, no toolchain needed)
Download the bundle for your platform, then open it or drag it into Claude Desktop (Settings → Extensions). You will be asked for your Prometheus URL, which defaults to http://localhost:9090.
| Platform | MCPB bundle |
|---|---|
| macOS (Apple silicon) | prom-mcp_v0.2.0_darwin_arm64.mcpb |
| macOS (Intel) | prom-mcp_v0.2.0_darwin_amd64.mcpb |
| Linux (x86_64) | prom-mcp_v0.2.0_linux_amd64.mcpb |
| Linux (arm64) | prom-mcp_v0.2.0_linux_arm64.mcpb |
Claude Code
With the binary on your PATH (release download or go install, see below):
claude mcp add prom -- prom-mcpSet PROM_URL in your shell first if your Prometheus is not at http://localhost:9090, or pass --env PROM_URL=... to the command. More variants in examples/claude-code.md.
Cursor
Add to ~/.cursor/mcp.json (same file as examples/cursor-mcp.json):
{"mcpServers": { "prom": { "command": "prom-mcp", "env": { "PROM_URL": "http://localhost:9090" } } } }
VS Code
Add to .vscode/mcp.json (same file as examples/vscode-mcp.json):
{"servers": { "prom": { "command": "prom-mcp", "env": { "PROM_URL": "http://localhost:9090" } } } }
Go install / build from source
go install github.com/aniketatgithub/prom-mcp@latestgit clone https://github.com/aniketatgithub/prom-mcp && cd prom-mcpgo build -o prom-mcp ./cmd/prom-mcp
Plain binaries for all four platforms are also on the v0.2.0 release, next to the MCPB bundles above.
What to ask
| You ask | prom-mcp does |
|---|---|
| "Why is NodeDown firing?" | prom_alerts_explain returns the active alert joined with its rule expression, group, for, labels, and annotations. |
| "What jobs and instances actually exist?" | prom_series_discover and prom_label_values list real series and label values before any query is written. |
| "Is this getting worse?" | prom_query_range summarizes the window per series: points, first, last, min, max. |
See it in action
Alert triage: why is the node down?
Discover what exists before querying:
Check the trend: is node1 getting worse?
What it looks like
Ask your agent *"why is the node down?"* and the alert tool answers in triage shape:
1 active alert(s)[firing] NodeDown (since 2026-10-08T10:00:00Z, value 0) labels: {alertname="NodeDown", instance="node1:9100", job="node", severity="critical"} summary: Node node1:9100 is down description: Scrapes failing for 5m rule: up{job="node"} == 0 group: node.rules for: 5m0s
Plus a built-in triage prompt template that walks the agent through alerts, discovery, and trend checks in order.
Tools
| Tool | What it does |
|---|---|
prom_query | Instant PromQL query, rendered as compact labelled series and values. |
prom_query_range | Range query over the last N minutes; per-series points, first, last, min, max. |
prom_alerts_explain | Active alerts joined with alerting-rule expressions, rule group, for duration, and annotations. |
prom_label_values | Lists real values of a label (optionally scoped), so the agent learns actual job/instance names. |
prom_series_discover | Checks which series exist for a label matcher, so the agent stops hallucinating metric names. |
Resources: prometheus://alerts (explained alerts), prometheus://config. Prompt: triage.
Try it with no server
prom-mcp demo # fixture-backed self-test: query, alert explanation, series discoveryprom-mcp query 'up' # one-shot CLI query against $PROM_URL
Configuration
| Setting | Env var | Config file key |
|---|---|---|
| Prometheus base URL | PROM_URL | base_url |
| Bearer token (auth-protected Prometheus) | PROM_TOKEN | token |
| Request timeout | PROM_TIMEOUT (e.g. 30s) | timeout_seconds |
| Config file path | PROM_CONFIG |
Config file is JSON, looked up at $PROM_CONFIG, then ./prom-mcp.json, then ~/.prom-mcp.json:
{ "base_url": "https://prometheus.example.com", "token": "…", "timeout_seconds": 30 }Env vars override the file. No config at all defaults to http://localhost:9090.
Why not just give the agent raw API access?
Agents drown in raw Prometheus JSON and invent metric names that do not exist. prom-mcp returns terse, labelled, triage-shaped text and makes the agent discover before querying. That is the difference between an agent that guesses and an agent that investigates.
Single Go binary, zero dependencies, works fully offline against your own Prometheus.
Comparing servers? See docs/comparison.md for an honest side-by-side with pab1it0/prometheus-mcp-server and the Prometheus org's prometheus/prometheus-mcp.
FAQ
Which AI clients work with prom-mcp? Any MCP client: Claude Code, Cursor, Windsurf, Zed, and custom agents. It speaks newline-delimited JSON-RPC 2.0 over stdio.
How do I connect prom-mcp to a remote Prometheus? Set PROM_URL to your Prometheus base URL (for example http://localhost:9090 or your internal endpoint) when adding the server.
Can an AI agent explain why a Prometheus alert is firing? Yes. prom_alerts_explain joins active alerts with the rule that fired them (expression, summary, description), so the agent can reason about the cause instead of reporting raw JSON.
Does prom-mcp need any API keys or cloud services? No. It is a single local binary talking only to your Prometheus.
How does prom-mcp compare to the other Prometheus MCP servers? See docs/comparison.md. Short version: prom-mcp is the focused alert-triage option with 5 tools; the others cover more of the Prometheus API or ship more deployment machinery.
How is this different from exposing the Prometheus HTTP API to an agent? Raw API access returns nested JSON the agent must parse and invites invented metric names. prom-mcp renders compact labelled text, joins alerts with the rules that fired them, caps long outputs, and nudges discovery before querying. It also retries transient failures and supports bearer-token auth.
Does it work with a remote or auth-protected Prometheus? Yes: set PROM_URL and PROM_TOKEN (or a JSON config file). See Configuration.
Which Prometheus versions are supported? Any server exposing the standard HTTP API (/api/v1/query, query_range, alerts, rules, series, label/ /values).
License
MIT. See LICENSE.