keep logo
keep
★ 12.5k
vs
MCPJungle logo
MCPJungle
★ 1.3k

keep vs MCPJungle

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.; MCPJungle: MCPJungle is an open-source, self-hosted gateway designed for managing and centralizing access to all your Model Context Protocol (MCP) servers and their tools. It allows developers to register and manage MCP servers, while AI clients can discover and consume these tools from a single unified "Gateway" MCP server, providing features like security, privacy, and access control.

01

TL;DR

keep logo
keepObservability · ★ 12.5k

Centralizing and managing alerts from diverse monitoring systems.

MCPJungle logo
MCPJungleObservability · ★ 1.3k
When to choose:
  • You want one gateway endpoint for many MCP servers, managed from a CLI.
  • You want tool groups, global enable or disable of tools, and prompts.
  • You want to start with docker compose, using SQLite by default and PostgreSQL for larger deployments.
When to skip:
  • You need OAuth to upstream MCP servers: the README says it is not supported yet, and SSE support is described as immature.
  • You need clear licence terms: the README text shows no licence, so check the repository.
  • You want access control and OpenTelemetry metrics in the open build: the README attaches them to enterprise mode.
02

Side-by-Side Comparison

Field
keep logokeep
MCPJungle logoMCPJungle
Category
Observability
Observability
Stars
★ 12.5k
★ 1.3k
License
NOASSERTION
MPL-2.0
Install Command
git clone https://github.com/keephq/keep.git
curl -O https://raw.githubusercontent.com/mcpjungle/MCPJungle/refs/heads/main/docker-compose.yaml && docker compose up -d
Updated
6d ago
2d ago
Open Source
Yes
Yes
Tags
AIOps, Alert Management, Incident Response
MCP, Gateway, AI Agents
03

Features

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.
MCPJungle logoMCPJungle
01Centralized registration and management of MCP servers and tools.
02Unified gateway for AI agents to discover and consume tools.
03Enhanced security, privacy, and access control for AI agent interactions.
04Supports both Streamable HTTP and STDIO-based MCP server transports.
05Global enablement/disablement of tools and prompts, with enterprise features like OpenTelemetry.
04

Use Cases

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.
MCPJungle logoMCPJungle
↳Developers using MCP Clients (like Claude & Cursor) for tool-calling via MCP servers.
↳Developers building production-grade AI Agents that require secure, private, and access-controlled interaction with MCP servers.
↳Organizations seeking a central, self-hosted platform to view and manage all MCP client-server interactions.
05

Best For

keep logokeep
Most PopularEssentialTrending
MCPJungle logoMCPJungle
EssentialTrending
FAQ

FAQ

What is the difference between keep and MCPJungle?
Both keep and MCPJungle are in the Observability category. keep has 12.5k stars, while MCPJungle has 1.3k stars.
Which is better, keep or MCPJungle?
The best choice depends on your use case. Choose keep if Centralizing and managing alerts from diverse monitoring systems., and MCPJungle if Developers using MCP Clients (like Claude & Cursor) for tool-calling via MCP servers..
Is keep free or open source?
Yes, keep is open source on GitHub (NOASSERTION).
Is MCPJungle free or open source?
Yes, MCPJungle is open source on GitHub (MPL-2.0).
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