archestra
★ 4.4k
vs
opik-mcp
★ 225
archestra vs opik-mcp
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.; opik-mcp: opik-mcp is a Model Context Protocol server that integrates Opik, an LLM observability platform, with AI coding assistants like Claude Code, Cursor, VS Code Copilot, and MCP Inspector. It enables reading traces, scoring, saving prompt versions, and asking Ollie investigative questions directly from chat. Requires Python 3.13+ and uses uvx for execution.
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.
opik-mcpObservability · ★ 225
Query Opik projects and retrieve trace details from chat
02
Side-by-Side Comparison
Field
archestraopik-mcpCategory
Observability
Observability
Stars
★ 4.4k
★ 225
License
AGPL-3.0 (enterprise parts under a commercial license)
Apache-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;
uvx opik-mcp
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
AI Platform, AI Security, Kubernetes
generative-ai, mcp-server, mcp-servers
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.
opik-mcp01Supports multiple AI hosts: Claude Code, Cursor, VS Code Copilot, MCP Inspector
02Provides six tools: read, list, ask_ollie, write, schema, run_experiment
03Authenticated access to Opik workspace for read/write operations
04YOLO mode for automatic approval of Ollie's writes with audit logging
05Self-hosted Opik configuration support with environment variables
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.
opik-mcp↳Query Opik projects and retrieve trace details from chat
↳Score traces or add comments interactively during development
↳Investigate experiment regressions by asking Ollie analytical questions
05
Best For
archestraEssentialTrending
opik-mcp—
FAQ
FAQ
What is the difference between archestra and opik-mcp?
Both archestra and opik-mcp are in the Observability category. archestra has 4.4k stars, while opik-mcp has 225 stars.
Which is better, archestra or opik-mcp?
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 opik-mcp if Query Opik projects and retrieve trace details from chat.
Is archestra free or open source?
Yes, archestra is open source on GitHub (AGPL-3.0 (enterprise parts under a commercial license)).
Is opik-mcp free or open source?
Yes, opik-mcp is open source on GitHub (Apache-2.0).
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