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AgentIndex
archestra logo
archestra
★ 4.4k
vs
inspector logo
inspector
★ 2.3k

archestra vs inspector

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.; inspector: MCPJam Inspector is a comprehensive development platform for MCP servers, apps, and ChatGPT applications. It offers robust tools for debugging, chatting with LLMs, inspecting server components, and evaluating performance, thereby streamlining the development workflow without requiring external services like ngrok or separate LLM subscriptions. It supports multiple deployment methods, including a hosted web app, desktop applications, and a terminal-based CLI/SDK, facilitating flexible iteration and seamless integration into CI/CD pipelines.

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.
Read archestra full review →
inspector logo
inspectorObservability · ★ 2.3k

Local Development & Debugging: Rapidly iterate on MCP projects, debug server issues, and test OAuth flows without external tunnels.

Read inspector full review →
02

Side-by-Side Comparison

Field
archestra logoarchestra
inspector logoinspector
Category
Observability
Observability
Stars
★ 4.4k
★ 2.3k
License
AGPL-3.0 (enterprise parts under a commercial license)
NOASSERTION
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;
npx @mcpjam/inspector@latest
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Platform, AI Security, Kubernetes
anthropic, chatgpt, cicd
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.
inspector logoinspector
01Debug: Inspect JSON-RPC messages and OAuth exchanges with full traces.
02Chat: Interact with any LLM against your server, with full trace visibility into tool calls and context.
03Inspect: Explore your server’s tools, resources, and prompts in a single interface.
04Evaluate: Run evaluations across multiple LLMs and track accuracy over time to catch regressions.
05CI/CD: Integrate CLI and SDK into pipelines (e.g., GitHub Actions) for automated testing, evals, and OAuth checks.
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.
inspector logoinspector
↳Local Development & Debugging: Rapidly iterate on MCP projects, debug server issues, and test OAuth flows without external tunnels.
↳Automated Testing & CI/CD: Integrate into GitHub Actions or other CI/CD pipelines to run end-to-end tests, evaluations, and specification conformance checks on every pull request.
↳Team Collaboration: Share server configurations and collaborate in real-time on debugging and evaluation within shared workspaces.
05

Best For

archestra logoarchestra
EssentialTrending
inspector logoinspector
—
FAQ

FAQ

What is the difference between archestra and inspector?
Both archestra and inspector are in the Observability category. archestra has 4.4k stars, while inspector has 2.3k stars.
Which is better, archestra or inspector?
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 inspector if Local Development & Debugging: Rapidly iterate on MCP projects, debug server issues, and test OAuth flows without external tunnels..
Is archestra free or open source?
Yes, archestra is open source on GitHub (AGPL-3.0 (enterprise parts under a commercial license)).
Is inspector free or open source?
Yes, inspector is open source on GitHub (NOASSERTION).
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