Prometheus MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 14 tools to Clean Tombstones, Create Snapshot, Delete Series, and more

Name: Prometheus
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Prometheus through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Prometheus MCP Server for OpenAI Agents SDK 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

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python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Prometheus Assistant",
            instructions=(
                "You help users interact with Prometheus. "
                "You have access to 14 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Prometheus"
        )
        print(result.final_output)

asyncio.run(main())

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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.

The OpenAI Agents SDK auto-discovers all 14 tools from Prometheus through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Prometheus, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

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

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 14 tools from Prometheus

Why Use OpenAI Agents SDK with the Prometheus MCP Server

OpenAI Agents SDK provides unique advantages when paired with Prometheus through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Prometheus + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Prometheus MCP Server delivers measurable value.

Automated workflows: build agents that query Prometheus, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Prometheus, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Prometheus tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Prometheus to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Prometheus in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Prometheus immediately.

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

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

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

Troubleshooting Prometheus MCP Server with OpenAI Agents SDK

Common issues when connecting Prometheus to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Prometheus + OpenAI Agents SDK FAQ

Common questions about integrating Prometheus MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.