Example applications demonstrating how to integrate AI agents with Archestra Platform for security and observability.
- ai-sdk-express - Express.js app using Vercel AI SDK with Archestra security layer
- mastra-ai - Mastra framework agent with GitHub integration and docker-compose setup
- pydantic-ai - Python agent using Pydantic AI demonstrating prompt injection protection
- openwebui - Open WebUI with Archestra as LLM Proxy and MCP Gateway, including Keycloak SSO
- openclaw - OpenClaw personal AI agent proxied through Archestra for security and observability
- model-router-user-oauth - Public OAuth app that calls the OpenAI-compatible Model Router as the signed-in user
- model-router-client-credentials - Service-to-service OAuth client credentials app for the OpenAI-compatible Model Router
- copilot-cli-llm-proxy - GitHub Copilot CLI configured to use Archestra's OpenAI-compatible LLM Proxy
- mcp-gateway-entra-obo - MCP gateway using Microsoft Entra On-Behalf-Of to exchange a user token for a downstream MCP access token
- mcp-server-id-jag - MCP server that exchanges an ID-JAG assertion for a server-specific MCP access token
- dummy_email_mcp_server - Simple MCP server for testing email tool scenarios
For detailed setup instructions, see the Archestra documentation.