Smithery is a registry of Model Context Protocols, designed to help developers find the rights tools to build their AI agentic applications.
Smithery addresses this challenge by providing:
- A centralized hub for discovering model context protocols
- Standardized interfaces for tool integration and configs
- Easy-to-use resources for agent development
- Community-driven protocol sharing and collaboration
Model Context Protocol
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLMs and external data sources and tools. It is a universal standard for connecting AI systems with the context they need, eliminating information silos and fragmented integrations.
By providing a standard way to connect AI systems with data sources, MCP simplifies the development and maintenance of agentic applications. This makes it easier to build agents like intelligent IDEs, chat interfaces and custom AI workflows.
Instead of writing custom implementations for each new data source, developers can use MCP as a single, standardized protocol. This approach not only makes systems more maintainable but also ensures better scalability as your AI applications grow and evolve.
