AgentIndex icon
AgentIndex
langfuse-mcp logo
langfuse-mcp
★ 113
vs
keep logo
keep
★ 12.4k

langfuse-mcp vs keep

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.; keep: Keep is an open-source AIOps and alert management platform designed to unify all your alerts and incidents. It offers a single pane of glass for alert deduplication, enrichment, filtering, correlation, and bi-directional integrations with various monitoring tools.

01

TL;DR

langfuse-mcp logo
langfuse-mcpObservability · ★ 113

Debug production errors by querying traces and exceptions

Read langfuse-mcp full review →
keep logo
keepObservability · ★ 12.4k

Centralizing and managing alerts from diverse monitoring systems.

Read keep full review →
02

Side-by-Side Comparison

Field
langfuse-mcp logolangfuse-mcp
keep logokeep
Category
Observability
Observability
Stars
★ 113
★ 12.4k
License
MIT
NOASSERTION
Install Command
pip install langfuse-mcp
git clone https://github.com/keephq/keep.git
Updated
1w ago
3w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-skills, ai-agents, claude-code
AIOps, Alert Management, Incident Response
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
keep logokeep
01Single pane of glass for all alerts and incidents with customizable UI.
02Comprehensive alert processing including deduplication, correlation, filtering, and enrichment.
03Deep bi-directional integrations with monitoring tools and customizable workflows.
04Automation capabilities, akin to GitHub Actions, for monitoring tasks.
05AIOps 2.0 with AI-powered correlation and summarization for incidents.
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
keep logokeep
↳Centralizing and managing alerts from diverse monitoring systems.
↳Automating incident response workflows and reducing alert fatigue.
↳Leveraging AI for intelligent alert correlation and incident summarization.
05

Best For

langfuse-mcp logolangfuse-mcp
—
keep logokeep
Most PopularEssentialTrending
FAQ

FAQ

What is the difference between langfuse-mcp and keep?
Both langfuse-mcp and keep are in the Observability category. langfuse-mcp has 113 stars, while keep has 12.4k stars.
Which is better, langfuse-mcp or keep?
The best choice depends on your use case. Choose langfuse-mcp if Debug production errors by querying traces and exceptions, and keep if Centralizing and managing alerts from diverse monitoring systems..
Is langfuse-mcp free or open source?
Yes, langfuse-mcp is open source on GitHub (MIT).
Is keep free or open source?
Yes, keep is open source on GitHub (NOASSERTION).
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Alternatives to langfuse-mcp →Alternatives to keep →langfuse-mcp details →keep details →