AgentIndex icon
AgentIndex
langfuse-mcp logo
langfuse-mcp
★ 113
vs
lmnr logo
lmnr
★ 3.4k

langfuse-mcp vs lmnr

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.; lmnr: Laminar is an open-source observability platform specifically designed for AI agents. It provides comprehensive tools for tracing, evaluation, and monitoring of AI agent behavior and performance.

01

TL;DR

langfuse-mcp logo
langfuse-mcpObservability · ★ 113

Debug production errors by querying traces and exceptions

Read langfuse-mcp full review →
lmnr logo
lmnrObservability · ★ 3.4k

Debugging and understanding the execution flow and internal states of AI agents.

Read lmnr full review →
02

Side-by-Side Comparison

Field
langfuse-mcp logolangfuse-mcp
lmnr logolmnr
Category
Observability
Observability
Stars
★ 113
★ 3.4k
License
MIT
Apache-2.0
Install Command
pip install langfuse-mcp
git clone https://github.com/lmnr-ai/lmnr && cd lmnr && docker compose up -d
Updated
1w ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-skills, ai-agents, claude-code
AI Observability, Tracing, LLM Evals
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
lmnr logolmnr
01OpenTelemetry-native tracing SDK with support for various AI SDKs (Vercel AI SDK, LangChain, OpenAI, etc.).
02Unopinionated, extensible SDK and CLI for running evals, with a UI for visualizing and comparing results.
03AI monitoring with the ability to define events using natural language descriptions to track agent behavior.
04SQL access to all collected data (traces, metrics, events) via a built-in SQL editor and API.
05High-performance architecture written in Rust, featuring a custom real-time engine and ultra-fast full-text search.
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
lmnr logolmnr
↳Debugging and understanding the execution flow and internal states of AI agents.
↳Evaluating the performance, quality, and reliability of AI agents and their responses.
↳Monitoring AI agents in production for anomalies, logical errors, and custom business behaviors.
05

Best For

langfuse-mcp logolangfuse-mcp
—
lmnr logolmnr
EssentialTrending
FAQ

FAQ

What is the difference between langfuse-mcp and lmnr?
Both langfuse-mcp and lmnr are in the Observability category. langfuse-mcp has 113 stars, while lmnr has 3.4k stars.
Which is better, langfuse-mcp or lmnr?
The best choice depends on your use case. Choose langfuse-mcp if Debug production errors by querying traces and exceptions, and lmnr if Debugging and understanding the execution flow and internal states of AI agents..
Is langfuse-mcp free or open source?
Yes, langfuse-mcp is open source on GitHub (MIT).
Is lmnr free or open source?
Yes, lmnr is open source on GitHub (Apache-2.0).
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