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Prometheus MCP Server for Mastra AIGive Mastra AI instant access to 14 tools to Clean Tombstones, Create Snapshot, Delete Series, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Prometheus through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Prometheus MCP Server for Mastra AI is a standout in the Loved By Devs category — giving your AI agent 14 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "prometheus": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Prometheus Agent",
    instructions:
      "You help users interact with Prometheus " +
      "using 14 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Prometheus?"
  );
  console.log(result.text);
}

main();
Prometheus
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Prometheus MCP Server

Connect your Prometheus instance to any AI agent and transform your observability data into actionable insights through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Prometheus tool infrastructure. Connect 14 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Instant & Range Queries — Evaluate complex PromQL expressions for real-time status or historical trends over specific time windows.
  • Metric Discovery — Find time series matching specific label selectors and explore available labels and their values across your environment.
  • Metadata Inspection — Retrieve detailed metadata about metrics scraped from targets to understand units, types, and help text.
  • Admin Operations — Create data snapshots, delete specific series, and clean tombstones (requires admin API enabled).
  • System Status — Inspect your Prometheus configuration, flags, and runtime information to ensure your monitoring stack is healthy.

The Prometheus MCP Server exposes 14 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 14 Prometheus tools available for Mastra AI

When Mastra AI connects to Prometheus through Vinkius, your AI agent gets direct access to every tool listed below — spanning prometheus, promql, metrics, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

clean

Clean tombstones on Prometheus

enable-admin-api to be enabled. Remove deleted data from disk

create

Create snapshot on Prometheus

enable-admin-api to be enabled on the Prometheus server. Create a snapshot of all current data

delete

Delete series on Prometheus

enable-admin-api to be enabled. Delete data for a selection of series in a time range

find

Find series on Prometheus

Find time series matching label selectors

get

Get label values on Prometheus

Get all values for a specific label

get

Get labels on Prometheus

Get a list of all label names

get

Get metadata on Prometheus

Get metadata about metrics scraped from targets

get

Get status buildinfo on Prometheus

Get Prometheus build information

get

Get status config on Prometheus

Get the currently loaded Prometheus configuration (YAML)

get

Get status flags on Prometheus

Get configured Prometheus flag values

get

Get status runtimeinfo on Prometheus

Get Prometheus runtime information

get

Get status tsdb on Prometheus

Get TSDB cardinality statistics

action

Query on Prometheus

Evaluate a PromQL expression at a single point in time

query

Query range on Prometheus

Evaluate a PromQL expression over a range of time

Connect Prometheus to Mastra AI via MCP

Follow these steps to wire Prometheus into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 14 tools from Prometheus via MCP

Why Use Mastra AI with the Prometheus MCP Server

Mastra AI provides unique advantages when paired with Prometheus through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Prometheus without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Prometheus tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Prometheus + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Prometheus MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Prometheus, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Prometheus as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Prometheus on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Prometheus tools alongside other MCP servers

Example Prompts for Prometheus in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Prometheus immediately.

01

"Run an instant query for 'up' to see which targets are currently reachable."

02

"Show me the average CPU usage for the last 30 minutes using query_range."

03

"What is the metadata for the metric 'http_requests_total'?"

Troubleshooting Prometheus MCP Server with Mastra AI

Common issues when connecting Prometheus to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Prometheus + Mastra AI FAQ

Common questions about integrating Prometheus MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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