This MCP server facilitates metric collection and display for Prometheus, providing an easy way to gather monitoring data and visualize it effectively.
Added on:
Created by:
Apr 28 2025
This MCP server facilitates metric collection and display for Prometheus, providing an easy way to gather monitoring data and visualize it effectively.
Added on:
Created by:
Apr 28 2025
longlong A dog
Featured
What is Prometheus MCP Server?
The Prometheus MCP server is a lightweight, simple implementation designed for collecting and exposing metrics for Prometheus. It allows users to set up environment variables for configuring Prometheus URL, start the server to listen for metrics, and test the setup using commands. It supports functionalities like metric searching, label retrieving, querying metrics with PromQL, and generating visualization charts. The server can be used in monitoring environments to track application performance, system health, and other custom metrics. Its modular design enables integration with various data sources and easy customization for specific monitoring needs.
Who will use Prometheus MCP Server?
- DevOps engineers
- System administrators
- Developers implementing monitoring solutions
- QA teams testing metrics collection
How to use the Prometheus MCP Server?
- Step1: Set the Prometheus URL environment variable: export PROMETHEUS_URL=your_Prometheus_endpoint
- Step2: Start the server via command: go run cmd/server/main.go sse
- Step3: Access the server at http://localhost:8081/sse
- Step4: Configure log file path if needed: export APP_LOG_FILE=/path/to/logfile.log
- Step5: Use test commands to verify metrics collection and visualization
Prometheus MCP Server's Core Features & Benefits
The Core Features
- search_metrics
- get_metric_labels
- get_metric_label_values
- query
- query_range
- query_chart
The Benefits
- Easy integration with Prometheus
- Flexible metrics querying
- Supports real-time monitoring
- Customizable metric collection and visualization
Prometheus MCP Server's Main Use Cases & Applications
- Monitoring Application Performance
- System Health Tracking
- Custom Metrics Collection
- Visualization of Prometheus Metrics
FAQs of Prometheus MCP Server
Developer
- qingshanyuluo
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
Monitoring
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A cross-platform desktop app providing offline access, performance, and detailed metrics for MCP system interaction.
Enables advanced browser automation for viewport management, screenshot capture, and content extraction using TypeScript.
A GUI tool for managing MCP servers across clients with seamless toggling and real-time monitoring features.
A client and server setup facilitating GitLab SSE communication via a supergateway for real-time updates.
A server for sending notifications to self-hosted ntfy servers with secure token authentication support.
A Python SDK-based MCP supporting Elasticsearch 7 and 8 for search, mapping, health, and stats monitoring.
A comprehensive suite of containers for efficient microservices deployment and management.
A WebSocket-based real-time chat application with user authentication, message history, and health monitoring features.
A desktop app to manage omni-ai MCP servers, providing development tools and deployment functionalities.