archestra
★ 4.4k
vs
MCPJungle
★ 1.3k
archestra vs MCPJungle
archestra: Archestra is a secure, MCP-native AI platform that simplifies enterprise AI adoption. It provides comprehensive tools for AI orchestration, security against prompt injections and data exfiltration, cost management, and observability across the organization.; 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
archestraObservability · ★ 4.4k
When to choose:
- You are a platform or security team that needs central control over how the company uses models and MCP servers.
- You want one platform covering an internal chat, an LLM gateway, an MCP gateway and registry, and an agent runtime.
- You need SSO, RBAC, sandboxed code execution, guardrails, per-user tool authorisation, OpenTelemetry and Prometheus.
When to skip:
- You are a small team that only needs a proxy: Kubernetes-oriented components make this a significant deployment.
- You need to avoid AGPL or commercial terms: the default code is AGPL-3.0 and parts marked Enterprise are under a commercial licence.
- You already run gateways or chat apps whose roles overlap; plan what it would replace.
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
archestraMCPJungleCategory
Observability
Observability
Stars
★ 4.4k
★ 1.3k
License
AGPL-3.0 (enterprise parts under a commercial license)
MPL-2.0
Install Command
docker pull archestra/platform:latest; docker run -p 9000:9000 -p 3000:3000 -e ARCHESTRA_QUICKSTART=true -v /var/run/docker.sock:/var/run/docker.sock -v archestra-postgres-data:/var/lib/postgresql/data -v archestra-app-data:/app/data archestra/platform;
curl -O https://raw.githubusercontent.com/mcpjungle/MCPJungle/refs/heads/main/docker-compose.yaml && docker compose up -d
Updated
1d ago
2d ago
Open Source
Yes
Yes
Tags
AI Platform, AI Security, Kubernetes
MCP, Gateway, AI Agents
03
Features
archestra01Secure, MCP-native AI Platform for simplified enterprise AI usage.
02Private MCP registry with governance and ChatGPT-like chat capabilities.
03Kubernetes-native orchestration for managing AI servers and credentials.
04Advanced security features to prevent prompt injections and data exfiltration.
05Comprehensive cost monitoring, dynamic optimization, and observability tools.
MCPJungle01Centralized 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
archestra↳Centralized orchestration and secure management of AI models and data for platform teams.
↳Secure deployment and development of AI agents across the organization for developers.
↳Facilitating organization-wide AI adoption, cost reduction, and usage visibility for management.
MCPJungle↳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
archestraEssentialTrending
MCPJungleEssentialTrending
FAQ
FAQ
What is the difference between archestra and MCPJungle?
Both archestra and MCPJungle are in the Observability category. archestra has 4.4k stars, while MCPJungle has 1.3k stars.
Which is better, archestra or MCPJungle?
The best choice depends on your use case. Choose archestra if Centralized orchestration and secure management of AI models and data for platform teams., and MCPJungle if Developers using MCP Clients (like Claude & Cursor) for tool-calling via MCP servers..
Is archestra free or open source?
Yes, archestra is open source on GitHub (AGPL-3.0 (enterprise parts under a commercial license)).
Is MCPJungle free or open source?
Yes, MCPJungle is open source on GitHub (MPL-2.0).
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