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AgentIndex
langfuse-mcp logo
langfuse-mcp
★ 113
vs
holmesgpt logo
holmesgpt
★ 3.7k

langfuse-mcp vs holmesgpt

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.; holmesgpt: HolmesGPT is an AI agent designed for cloud troubleshooting and alert investigation. It connects AI models with live observability data and organizational knowledge to find root causes and suggest remediations.

01

TL;DR

langfuse-mcp logo
langfuse-mcpObservability · ★ 113

Debug production errors by querying traces and exceptions

Read langfuse-mcp full review →
holmesgpt logo
holmesgptObservability · ★ 3.7k

Automated cloud troubleshooting and root cause analysis for operational issues.

Read holmesgpt full review →
02

Side-by-Side Comparison

Field
langfuse-mcp logolangfuse-mcp
holmesgpt logoholmesgpt
Category
Observability
Observability
Stars
★ 113
★ 3.7k
License
MIT
Apache-2.0
Install Command
pip install langfuse-mcp
git clone https://github.com/HolmesGPT/holmesgpt.git
Updated
1w ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-skills, ai-agents, claude-code
AI Agent, Cloud Troubleshooting, Observability
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
holmesgpt logoholmesgpt
01Investigates cloud problems, finds root causes, and suggests remediations
02Dozens of built-in integrations for cloud providers, observability tools, and on-call systems
03Utilizes an agentic loop to analyze data from multiple sources
04Supports custom data sources and runbooks for tailored investigations
05Provides end-to-end automation for alert investigation and analysis reporting
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
holmesgpt logoholmesgpt
↳Automated cloud troubleshooting and root cause analysis for operational issues.
↳Proactive investigation of alerts from various monitoring and on-call systems (e.g., Prometheus, PagerDuty).
↳Leveraging internal documentation and knowledge bases for incident resolution and remediation.
05

Best For

langfuse-mcp logolangfuse-mcp
—
holmesgpt logoholmesgpt
Trending
FAQ

FAQ

What is the difference between langfuse-mcp and holmesgpt?
Both langfuse-mcp and holmesgpt are in the Observability category. langfuse-mcp has 113 stars, while holmesgpt has 3.7k stars.
Which is better, langfuse-mcp or holmesgpt?
The best choice depends on your use case. Choose langfuse-mcp if Debug production errors by querying traces and exceptions, and holmesgpt if Automated cloud troubleshooting and root cause analysis for operational issues..
Is langfuse-mcp free or open source?
Yes, langfuse-mcp is open source on GitHub (MIT).
Is holmesgpt free or open source?
Yes, holmesgpt is open source on GitHub (Apache-2.0).
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