golf logo
golf
★ 841
vs
prometheus-mcp-server logo
prometheus-mcp-server
★ 519

golf vs prometheus-mcp-server

golf: Golf is a Python framework designed to streamline the creation of MCP server applications by defining capabilities as Python files. It automatically discovers, parses, and compiles these components into a runnable MCP server, minimizing boilerplate and accelerating development.; prometheus-mcp-server: A Model Context Protocol (MCP) server that provides access to your Prometheus metrics and queries through standardized MCP interfaces, allowing AI assistants to execute PromQL queries and analyze your metrics data. It supports various authentication methods and deployment options including Docker and Kubernetes.

01

TL;DR

golf logo
golfObservability · ★ 841

Building custom MCP server applications.

prometheus-mcp-server logo
prometheus-mcp-serverObservability · ★ 519

AI assistants querying Prometheus metrics for monitoring and troubleshooting

02

Side-by-Side Comparison

Field
golf logogolf
prometheus-mcp-server logoprometheus-mcp-server
Category
Observability
Observability
Stars
★ 841
★ 519
License
Apache-2.0
MIT
Install Command
pip install golf-mcp
docker run -i --rm -e PROMETHEUS_URL="http://your-prometheus:9090" ghcr.io/pab1it0/prometheus-mcp-server:latest
Updated
1mo ago
4d ago
Open Source
Yes
Yes
Tags
MCP, Python, Server Framework
ai, devops, llm
03

Features

golf logogolf
01Streamlined creation of MCP server applications.
02Automatic discovery, parsing, and compilation of server components (tools, prompts, resources).
03Enterprise-grade authentication (JWT, OAuth Server, API key, development tokens).
04Built-in utilities for Large Language Model (LLM) interactions.
05Automatic OpenTelemetry integration for monitoring and tracing.
prometheus-mcp-server logoprometheus-mcp-server
01Execute PromQL queries against Prometheus
02Discover and explore metrics with metadata and search
03Support for multiple authentication methods (basic, bearer, mTLS)
04Docker containerization support
05Interactive tools for AI assistants
04

Use Cases

golf logogolf
↳Building custom MCP server applications.
↳Developing backend services for AI agents and Large Language Models.
↳Rapid prototyping and deployment of server capabilities (tools, prompts, resources).
prometheus-mcp-server logoprometheus-mcp-server
↳AI assistants querying Prometheus metrics for monitoring and troubleshooting
↳Integrating Prometheus data into MCP-compatible clients like Claude Desktop, VS Code, Cursor, Windsurf
↳Automating infrastructure monitoring with AI-driven analysis
FAQ

FAQ

What is the difference between golf and prometheus-mcp-server?
Both golf and prometheus-mcp-server are in the Observability category. golf has 841 stars, while prometheus-mcp-server has 519 stars.
Which is better, golf or prometheus-mcp-server?
The best choice depends on your use case. Choose golf if Building custom MCP server applications., and prometheus-mcp-server if AI assistants querying Prometheus metrics for monitoring and troubleshooting.
Is golf free or open source?
Yes, golf is open source on GitHub (Apache-2.0).
Is prometheus-mcp-server free or open source?
Yes, prometheus-mcp-server is open source on GitHub (MIT).
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