Prometheus MCP Server for Google ADKGive Google ADK 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

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Prometheus as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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The Prometheus MCP Server for Google ADK 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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python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="prometheus_agent",
    instruction=(
        "You help users interact with Prometheus "
        "using 14 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Google ADK natively supports Prometheus as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 14 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK

When Google ADK 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 Google ADK via MCP

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

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 14 tools from Prometheus via MCP

Why Use Google ADK with the Prometheus MCP Server

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

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Prometheus

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Prometheus tools with BigQuery, Vertex AI, and Cloud Functions

Prometheus + Google ADK Use Cases

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

Enterprise data agents: ADK agents query Prometheus and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Prometheus tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Prometheus regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Prometheus

Example Prompts for Prometheus in Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Prometheus + Google ADK FAQ

Common questions about integrating Prometheus MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.