How to integrate Model Context Protocol (MCP) support with dynamic plugins in your AI infrastructure

How to integrate Model Context Protocol (MCP) support with dynamic plugins in your AI infrastructure

This task can be performed using Bifrost

Bifrost is the fastest LLM gateway, with just 11μs overhead at 5,000 RPS, making it 50x faster than LiteLLM.

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Bifrost

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Bifrost is the fastest, open-source LLM gateway with built-in MCP support, dynamic plugin architecture, and integrated governance. With a clean UI, Bifrost is 40x faster than LiteLLM, and plugs in with Maxim for e2e evals and observability of your AI applications.

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What to expect from an ideal product

  1. Bifrost's built-in MCP support eliminates the need for custom protocol implementations, letting you connect AI models and tools through standardized interfaces without writing integration code
  2. The dynamic plugin architecture allows you to add, remove, and update MCP-compatible plugins in real-time without restarting your gateway or disrupting active connections
  3. With only 11μs overhead at high request volumes, Bifrost handles MCP plugin communication without creating performance bottlenecks that slow down your AI responses
  4. The integrated governance layer provides centralized control over which MCP plugins can access specific models and data sources, maintaining security while enabling flexible integrations
  5. Bifrost's clean management interface lets you monitor MCP plugin performance, configure routing rules, and troubleshoot connection issues from a single dashboard instead of juggling multiple tools

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