Embeds a secure, curated MCP server inside Python applications, exposing explicit tools, resources, and prompts with dependency injection, security policies, and in-memory testing.
Enables dynamic loading, hot-reloading, and orchestration of MCP servers without restarting Claude Code, allowing programmatic tool calling and workflow automation across multiple servers.
Easiest framework for building MCP servers with automatic discovery of tools, prompts, and resources, plus enterprise-grade authentication and telemetry.
Aggregates multiple MCP servers into a single endpoint, enabling LLM clients to access tools, resources, and prompts from various backends through one connection.