Prometheus Mcp Server
A Model Context Protocol (MCP) server that allows AI assistants to request and examine Prometheus metrics using standardized interfaces.
Overview
What is Prometheus MCP Server?
The ### Prometheus MCP Server is a Model Context Protocol (MCP) server designed to help AI assistants in querying and analyzing Prometheus metrics through standardized interfaces. This server serves as a bridge, enabling smooth interaction between AI systems and the extensive data provided by Prometheus, a powerful monitoring and alerting toolkit commonly used in cloud-native environments.
Features of Prometheus MCP Server
- Standardized Interfaces: The server offers a set of standardized APIs that allow AI assistants to easily access and manipulate Prometheus metrics.
- Real-time Data Access: Users can query metrics in real-time, providing immediate insights and facilitating decision-making.
- Integration Friendly: Built to integrate seamlessly with existing AI systems and Prometheus setups, enhancing overall functionality without needing extensive changes.
- Open Source: As a public repository, it encourages community contributions and improvements, promoting a collaborative development environment.
- Scalability: The architecture supports scaling, making it suitable for both small and large deployments.
How to Use Prometheus MCP Server
- Installation: Clone the repository from GitHub and follow the installation instructions provided in the documentation.
- Configuration: Set up the server by configuring the necessary parameters to connect to your Prometheus instance.
- API Access: Use the provided APIs to send queries from your AI assistant to the Prometheus MCP Server.
- Data Analysis: Analyze the returned metrics and incorporate them into your AI workflows for improved decision-making capabilities.
- Community Support: Engage with the community for support, feature requests, and contributions to the project.
Frequently Asked Questions
What is the purpose of the Prometheus MCP Server?
The main purpose of the Prometheus MCP Server is to enable AI assistants to query and analyze Prometheus metrics through standardized interfaces, enhancing AI capabilities in data-driven environments.
Is the Prometheus MCP Server open source?
Yes, the Prometheus MCP Server is an open-source project, allowing users to contribute to its development and enhancement.
How can I contribute to the Prometheus MCP Server?
You can contribute by forking the repository, making improvements, and submitting pull requests. Additionally, you can report issues or suggest features through the GitHub issues page.
What are the system requirements for running the Prometheus MCP Server?
The server requires a compatible environment with access to a Prometheus instance. Specific requirements can be found in the documentation within the repository.
Can I use the Prometheus MCP Server with other monitoring tools?
While it is primarily designed for Prometheus, the architecture allows for potential integration with other monitoring tools, depending on the specific use case and requirements.
Details
Server Config
{
"mcpServers": {
"prometheus-mcp-server": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/metorial/mcp-container--pab1it0--prometheus-mcp-server--prometheus-mcp-server",
"prometheus-mcp-server"
],
"env": {
"PROMETHEUS_URL": "prometheus-url",
"PROMETHEUS_USERNAME": "prometheus-username",
"PROMETHEUS_PASSWORD": "prometheus-password"
}
}
}
}