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AgentIndex
langfuse-mcp logo
langfuse-mcp
★ 113
vs
golf logo
golf
★ 841

langfuse-mcp vs golf

langfuse-mcp: Langfuse MCP Server is a Model Context Protocol server for Langfuse observability. It provides 37 tools across 9 categories including traces, observations, sessions, exceptions, prompts, datasets, annotation queues, scores, and schema. It supports selective tool loading and read-only mode, and can be used with various MCP clients like Claude Code, Cursor, and Codex CLI.; 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.

01

TL;DR

langfuse-mcp logo
langfuse-mcpObservability · ★ 113

Debug production errors by querying traces and exceptions

Read langfuse-mcp full review →
golf logo
golfObservability · ★ 841

Building custom MCP server applications.

Read golf full review →
02

Side-by-Side Comparison

Field
langfuse-mcp logolangfuse-mcp
golf logogolf
Category
Observability
Observability
Stars
★ 113
★ 841
License
MIT
Apache-2.0
Install Command
pip install langfuse-mcp
pip install golf-mcp
Updated
1w ago
1mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-skills, ai-agents, claude-code
MCP, Python, Server Framework
03

Features

langfuse-mcp logolangfuse-mcp
01Comprehensive observability tools (traces, observations, sessions, exceptions, prompts, datasets, annotation queues, scores, schema)
02Selective tool loading to reduce token overhead
03Read-only mode for safe access
04Dataset item upsert functionality
05Includes a skill with debugging playbooks
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.
04

Use Cases

langfuse-mcp logolangfuse-mcp
↳Debug production errors by querying traces and exceptions
↳Analyze user sessions for performance optimization
↳Manage prompts and datasets for LLM evaluation
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).
FAQ

FAQ

What is the difference between langfuse-mcp and golf?
Both langfuse-mcp and golf are in the Observability category. langfuse-mcp has 113 stars, while golf has 841 stars.
Which is better, langfuse-mcp or golf?
The best choice depends on your use case. Choose langfuse-mcp if Debug production errors by querying traces and exceptions, and golf if Building custom MCP server applications..
Is langfuse-mcp free or open source?
Yes, langfuse-mcp is open source on GitHub (MIT).
Is golf free or open source?
Yes, golf is open source on GitHub (Apache-2.0).
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