Prometheus MCP Server
Enables access to Prometheus monitoring and time-series data through an MCP server, allowing AI assistants to query metrics, analyze performance data, and interact with Prometheus instances.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Prometheus MCP Servershow me the CPU usage for the last hour"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Prometheus MCP Server
A tool that allows access to Prometheus data through a Model Context Protocol server.
Installation
pipx install git+https://github.com/moohoorama/prometheus-mcp-server-py.gitRun Without Installation
You can also run the package directly without installing it using pipx run:
pipx run --spec git+https://github.com/moohoorama/prometheus-mcp-server-py.git prometheus-mcp --url http://your-prometheus-server:9090This is useful for testing or one-time usage scenarios.
Related MCP server: Prometheus MCP Server
Usage
# Command line arguments
prometheus-mcp --url http://your-prometheus-server:9090 \
--username username \
--password password
# Or
prometheus-mcp --url http://your-prometheus-server:9090 \
--token your-tokenCommand Line Arguments
--url: Prometheus server URL (required)--username: Username for basic authentication (optional)--password: Password for basic authentication (optional)--token: Token for authentication (optional)--org-id: Organization ID for multi-tenant setups (optional)
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
Query application logs, traces, and metrics from your AI coding assistant via Foam's MCP server.
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…
The Cortex MCP server provides read-only access to real-time engineering context from the Cortex developer portal, allowing AI coding assistants to answer natural language questions about your organization's catalog (microservices, libraries, domains, teams, infrastructure), scorecards (engineering standards and best practices), initiatives (goals and deadlines), and Engineering Intelligence metrics. It includes tools for querying documentation, tracking personal entities, and accessing AI-assisted insights across the entire Cortex ecosystem.
The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.
Related MCP Servers
- AlicenseNot gradedqualityFmaintenanceAn MCP server that enables Large Language Models to retrieve, analyze, and query metric data from Prometheus databases through pre-defined routes.34MIT
- AlicenseAqualityAmaintenanceProvides access to Prometheus metrics and queries through standardized Model Context Protocol interfaces, allowing AI assistants to execute PromQL queries and analyze metrics data.6513MIT
- AlicenseNot gradedqualityCmaintenanceA tool that lets users access Prometheus metrics data through a Model Context Protocol server, supporting authentication options for secure data retrieval.1MIT
- AlicenseBqualityFmaintenanceA Model Context Protocol server that enables AI assistants to query Prometheus metrics, discover available data, and analyze system performance through natural language interactions.585MIT
Appeared in Searches
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/moohoorama/prometheus-mcp-server-py'
If you have feedback or need assistance with the MCP directory API, please join our Discord server