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ARCHESTRA
Enterprise AI platform with MCP gateway and guardrails
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ABOUT
Enterprises deploying AI face a sprawl of disconnected tools — multiple LLMs, MCP servers, agent frameworks, guardrails, and observability systems — each with its own API and management surface. Archestra unifies them into one platform with an AI gateway for LLM routing, a built-in MCP registry for discovering and connecting MCP servers, guardrails for safety policies, and a multi-agent orchestrator for complex workflows. It runs on Docker, Kubernetes, or bare metal, giving IT teams a single control plane for AI operations.
INTEGRATION GUIDE
1. Deploy an enterprise AI gateway that routes requests across OpenAI, Anthropic, and local models with fallback and load balancing
2. Register and manage 50+ MCP servers in a central registry, making them discoverable by all agents in the organization
3. Enforce content safety guardrails across all AI interactions — block prompt injection, filter PII, and audit all requests
4. Orchestrate a multi-agent customer service workflow where routing, triage, resolution, and escalation agents collaborate via MCP
5. Build a centralized AI platform for IT operations that monitors usage, manages API keys, and provides audit trails for compliance
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pythonagentsmcpgatewayguardrailsorchestratorenterprisea2aacpmulti-agent