C

Caesaryangs Prometheus MCP Server

An MCP server designed for Prometheus, which supports LLMs to retrieve and analyze metric data through tool functions.
2 points
19

What is the Prometheus MCP Server?

The Prometheus MCP Server is a tool designed specifically for large language models. It allows you to access and analyze massive amounts of metric data in the Prometheus database through predefined interfaces. You can perform complex queries, statistical analyses, and explore data patterns.

How to use the Prometheus MCP Server?

First, you need to install a Python virtual environment and configure the Prometheus server address. Then, start the MCP server to start using it.

Applicable Scenarios

Suitable for application scenarios that require rapid retrieval and analysis of metrics in the Prometheus database, such as system monitoring, performance optimization, and anomaly detection.

Main Features

Data RetrievalSupports retrieving metric data within a specific time period from the Prometheus database.
Metric AnalysisProvides the function of performing statistical analysis on the retrieved metric data.
Complex QueryingSupports executing advanced PromQL query statements to meet in-depth data analysis needs.

Advantages and Limitations

Advantages
Seamlessly integrates with the Prometheus database without the need to manually write complex queries.
Supports multiple data processing methods to meet different business needs.
Easy to expand, and will support more advanced features in the future.
Limitations
Requires pre - installation of the Python environment and dependent libraries.
Some advanced functions are still in the development stage and are temporarily unavailable.

How to Use

Prepare a Python Virtual Environment
Create an independent Python virtual environment for running the MCP server.
Install Dependent Packages
Ensure that pip is installed, and then install all the dependencies required by the project.
Start the MCP Server
Use uvicorn or directly run the Python script to start the service.

Usage Examples

Example 1: CPU Usage Trend AnalysisGenerate a visualization chart by querying the CPU usage changes in the past week.
Example 2: Find All Services in the Production EnvironmentUse the label filtering function to find all services running in the production environment.

Frequently Asked Questions

How to install a Python virtual environment?
What should I do if the dependency installation fails?
Does it support other types of databases?

Related Resources

Official Documentation
Detailed user manuals and technical references.
GitHub Repository
Source code and contribution guidelines.
Prometheus Official Website
Learn about the basic concepts and usage of Prometheus.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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