Vinkius

Prometheus MCP. Ask about system health, don't build dashboards.

Prometheus MCP lets you talk to your monitoring system. Instead of building dashboards or running complex PromQL in a terminal, just ask your agent about service health, historical trends, and resource usage. It gives you instant access to time-series data analysis from right inside your chat window.

Prometheus MCP is compatible with Claude Claude
Prometheus MCP is compatible with ChatGPT ChatGPT
Prometheus MCP is compatible with Cursor Cursor
Prometheus MCP is compatible with Gemini Gemini
Prometheus MCP is compatible with Windsurf Windsurf
Prometheus MCP is compatible with VS Code VS Code
Prometheus MCP is compatible with JetBrains JetBrains
Prometheus MCP is compatible with Vercel Vercel
See Vinkius in Action

Give Claude and any AI agent real-world access

Analyze historical performance trends

Retrieve complex metric expressions over specific time windows using PromQL.

Find current system status

Get instant readings of metrics at a single point in time, like checking if a target is currently up or down.

Inspect data structure and labels

Discover all available labels for a metric or retrieve metadata to understand what the units and types are.

Manage time-series data (Admin)

Perform administrative tasks like creating snapshots of current metrics or cleaning up old, deleted data entries.

Waiting for input…

AI Agent
Prometheus

What AI agents can do with Prometheus MCP with 14 Tools

These tools give your agent direct access to every operational function in Prometheus, allowing you to query metrics, analyze trends, and manage data integrity from one place.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Prometheus MCP

Clean Tombstones

Removes deleted data entries from disk, requiring admin permissions to run.

Delete Series

Deletes specific time series data within a defined range, also requires admin...

Get Label Values

Retrieves every unique value associated with a specified label name.

Get Labels

Lists all available labels attached to the metrics in your environment.

Get Metadata

Pulls detailed metadata about a metric, including its unit and type, scraped from...

Query Range

Evaluates a PromQL expression to show how metrics have changed over an extended period of time.

Query

Runs a PromQL query to get the metric value at one specific moment in time.

Find Series

Locates all time series data that match your specified label selectors.

Create Snapshot

Creates a complete snapshot of all current metric data, requiring admin permissions.

Get Status Buildinfo

Retrieves general build information about the Prometheus instance itself.

Get Status Config

Displays the currently loaded YAML configuration settings for the monitoring stack.

Get Status Flags

Shows all configured flag values set within Prometheus.

Get Status Runtimeinfo

Provides general runtime details and operational information about the monitoring service.

Get Status Tsdb

Retrieves cardinality statistics for the Time Series Database (TSDB).

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Prometheus MCP is compatible with Claude

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The Prometheus integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on each call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Prometheus, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,200+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Connections are secured and governed automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog weekly
Prometheus MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Prometheus. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

VINKIUS CLOUD

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on each call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

The headache of context switching when troubleshooting outages

Today, finding out why service XYZ is slow means opening the monitoring dashboard, running a query to check CPU usage, then opening the logging tool to see errors, and finally opening a separate terminal just to verify network connectivity. You spend more time clicking tabs and copying API endpoints than actually diagnosing.

With this MCP, you stop jumping between apps. Your agent acts as your expert co-pilot. You simply ask it, 'Check latency on service XYZ over the last hour.' It handles all the necessary querying, data fetching, and status checks for you, delivering a single, clear answer right in the chat.

Prometheus MCP: Direct Metric Access

You eliminate the need to manually recall complex PromQL syntax or track which dashboard panel shows which metric. No more hunting through dozens of dropdown menus just to find a specific time series.

The difference is control and speed. You get instant, conversational access to your most critical operational data—whether checking current status with `query` or reviewing historical trends using `query_range`. It's immediate answers, every time.

What Prometheus MCP does for your AI

Running an infrastructure check used to mean jumping between Grafana, the command line, and documentation pages just to answer one simple question. Now, connect your Prometheus instance via this MCP, and treat your monitoring stack like a conversation. You simply ask your agent about performance—whether you need to know the average CPU usage over the last hour or if a specific service is currently failing.

It handles the complex PromQL required for instant queries and historical range data retrieval automatically.

This connection doesn't just display numbers; it translates raw metrics into actionable insights using natural language. If you’re working with other monitoring systems, you'll appreciate this focused approach to observability. By connecting through Vinkius, your agent accesses a dedicated stream of system metrics and configurations, letting you bypass manual dashboard building entirely.

You get the power of an SRE or DevOps engineer talking directly to you.

Built · Hosted · Managed by Vinkius Prometheus MCP - Query Metrics & Monitor System Health
Server ID 019e38db-cdb5-720b-9e9b-448800ac7d43
Vinkius Inspector
Compliance Grade F
Score 3.6/100
Vinkius Inspector Badge — Score 3.6/100

Frequently asked questions about Prometheus MCP

How do I query Prometheus metrics using the Prometheus MCP? +

You ask your agent a question in plain English. The agent interprets your request, builds the necessary PromQL expression, and runs the query for you.

Can I use the Prometheus MCP to check service uptime? +

Yes, you can. You simply ask the agent about the 'up' metric for a specific target or service to see if it is currently reporting a value of 1 (healthy).

What does `get_metadata` do in the Prometheus MCP? +

get_metadata lets you check what a metric actually measures. It tells you things like whether the data is counted, measured, or if it's partitioned by status code.

Is `query_range` different from `query` in this MCP? +

query provides a single point-in-time value. You use query_range when you need to see how the metric changed over an entire period of time, giving you a trend.

Do I need admin rights for all tools in the Prometheus MCP? +

No. Basic querying and metadata retrieval are standard. However, administrative actions like create_snapshot or delete_series require elevated permissions.