archestra logo
archestra
★ 4.4k
vs
mcpsnoop logo
mcpsnoop
★ 362

archestra vs mcpsnoop

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.; mcpsnoop: mcpsnoop is a transparent proxy designed for the Model Context Protocol (MCP), acting like Wireshark for AI client-server interactions. It allows developers to live-debug actual MCP traffic in a terminal UI, addressing limitations of existing tools by observing real client-server communications.

01

TL;DR

archestra logo
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.
mcpsnoop logo
mcpsnoopObservability · ★ 362

Debugging AI client-server communication to identify unseen or unexpected tool calls.

02

Side-by-Side Comparison

Field
archestra logoarchestra
mcpsnoop logomcpsnoop
Category
Observability
Observability
Stars
★ 4.4k
★ 362
License
AGPL-3.0 (enterprise parts under a commercial license)
MIT
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;
go install github.com/kerlenton/mcpsnoop/cmd/mcpsnoop@latest
Updated
1d ago
6d ago
Open Source
Yes
Yes
Tags
AI Platform, AI Security, Kubernetes
AI Development, Debugging Tool, Network Proxy
03

Features

archestra logoarchestra
01Secure, 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.
mcpsnoop logomcpsnoop
01Live JSON-RPC stream with color-coding, error flagging, and slow call detection.
02Replay any captured tool call against an isolated server instance.
03Capability inspector to view client and server agreed capabilities during handshake.
04Hung-call detection for in-flight requests with live timers.
05Powerful filter query to narrow the stream by tool, status, direction, kind, or text.
04

Use Cases

archestra logoarchestra
↳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.
mcpsnoop logomcpsnoop
↳Debugging AI client-server communication to identify unseen or unexpected tool calls.
↳Rapid iteration on tool development by replaying captured calls against fresh server instances.
↳Identifying hung or failed tool calls and understanding capability discrepancies.
↳Observing the exact MCP traffic between your AI client and server in real-time.
05

Best For

archestra logoarchestra
EssentialTrending
mcpsnoop logomcpsnoop
—
FAQ

FAQ

What is the difference between archestra and mcpsnoop?
Both archestra and mcpsnoop are in the Observability category. archestra has 4.4k stars, while mcpsnoop has 362 stars.
Which is better, archestra or mcpsnoop?
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 mcpsnoop if Debugging AI client-server communication to identify unseen or unexpected tool calls..
Is archestra free or open source?
Yes, archestra is open source on GitHub (AGPL-3.0 (enterprise parts under a commercial license)).
Is mcpsnoop free or open source?
Yes, mcpsnoop is open source on GitHub (MIT).
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