Prometheus MCP Server for AutoGenGive AutoGen 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

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Prometheus as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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The Prometheus MCP Server for AutoGen 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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="prometheus_agent",
            tools=tools,
            system_message=(
                "You help users with Prometheus. "
                "14 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Prometheus tools. Connect 14 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen

When AutoGen 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 AutoGen via MCP

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

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 14 tools from Prometheus automatically

Why Use AutoGen with the Prometheus MCP Server

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

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Prometheus tools to solve complex tasks

Role-based architecture lets you assign Prometheus tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Prometheus tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Prometheus tool responses in an isolated environment

Prometheus + AutoGen Use Cases

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

Collaborative analysis: one agent queries Prometheus while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Prometheus, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Prometheus data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Prometheus responses in a sandboxed execution environment

Example Prompts for Prometheus in AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Prometheus + AutoGen FAQ

Common questions about integrating Prometheus MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Prometheus tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.