AiSOC logo
AiSOC
★ 2.8k
vs
MCPJungle logo
MCPJungle
★ 1.3k

AiSOC vs MCPJungle

AiSOC: AiSOC is an open-source, self-hostable AI Security Operations Center designed to ingest security telemetry, detect and correlate threats, and investigate incidents using auditable AI agents. It provides proposed responses that require human approval, ensuring secure and transparent operations.; 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

AiSOC logo
AiSOCSecurity & Safety · ★ 2.8k
When to choose:
  • You want a self-hosted SOC where an AI agent investigates incidents, logs every prompt and tool call, and a human approves each response.
  • You want to run with no API key: it bundles a local `llama3.2:3b` model.
  • Your telemetry is in Splunk, Sentinel, Elastic, CrowdStrike, Okta, AWS, Wiz or Kubernetes, among 84 connectors.
When to skip:
  • You cannot give it 8 GB memory and 20 GB disk for the core profile, or about 12 GB for the full one.
  • You need a hosted model: the README says no hosted model provider has been tested.
  • You need proven detection: 2,603 of 6,991 rules are executable, which proves reachability, not that they catch attacks.
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
AiSOC logoAiSOC
MCPJungle logoMCPJungle
Category
Security & Safety
Observability
Stars
★ 2.8k
★ 1.3k
License
MIT
MPL-2.0
Install Command
git clone https://github.com/beenuar/AiSOC && cd AiSOC && make up
curl -O https://raw.githubusercontent.com/mcpjungle/MCPJungle/refs/heads/main/docker-compose.yaml && docker compose up -d
Updated
1d ago
2mo ago
Open Source
Yes
Yes
Tags
AI Security Operations, Threat Detection, Incident Investigation
MCP, Gateway, AI Agents
03

Features

AiSOC logoAiSOC
01AI-powered threat detection and correlation
02Auditable AI agent-led incident investigation
03Human-approved security response actions
04Support for 84 diverse data connectors
05Bundled local language model for immediate threat triage
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

AiSOC logoAiSOC
↳Building a self-hostable AI-powered Security Operations Center.
↳Automating threat detection, correlation, and incident investigation.
↳AI-assisted triage and analysis of security alerts with auditable reasoning.
↳Integrating and normalizing security telemetry from various tools.
↳Consuming and utilizing CISA Known Exploited Vulnerabilities (KEV) for threat intelligence.
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

AiSOC logoAiSOC
EssentialTrending
MCPJungle logoMCPJungle
Essential
FAQ

FAQ

What is the difference between AiSOC and MCPJungle?
Both AiSOC and MCPJungle are in the Security & Safety category. AiSOC has 2.8k stars, while MCPJungle has 1.3k stars.
Which is better, AiSOC or MCPJungle?
The best choice depends on your use case. Choose AiSOC if Building a self-hostable AI-powered Security Operations Center., and MCPJungle if Developers using MCP Clients (like Claude & Cursor) for tool-calling via MCP servers..
Is AiSOC free or open source?
Yes, AiSOC is open source on GitHub (MIT).
Is MCPJungle free or open source?
Yes, MCPJungle is open source on GitHub (MPL-2.0).
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