Smithery
AI Agent Development Platforms
A platform assisting developers in discovering and deploying agentic services adhering to the Model Context Protocol (MCP).
Smithery is a comprehensive platform designed to help developers find and deploy agentic services that comply with the Model Context Protocol (MCP). It serves as a centralized hub for discovering MCP servers, offering hosting and distribution services, and providing standardized interfaces for tool integration and configurations. By simplifying the integration of language model agents with external tools and data sources, Smithery accelerates the development of agentic AI applications.
Industry: Technology
Pricing: free
Use cases: AI developers, software engineers, data scientists, machine learning engineers
Capabilities: Discovering and deploying MCP-compliant agentic services., Integrating language model agents with external tools and data sources., Standardizing tool configurations and interfaces for AI applications., Hosting and distributing MCP servers for broader accessibility.
Tags: agentic services, Model Context Protocol, MCP servers, AI integration, developer tools
- Is Smithery available at no cost?
- Can I integrate language model agents with external tools?
- Does Smithery help deploy agentic services?
- Can I host Model Context Protocol servers?

Smithery
A platform assisting developers in discovering and deploying agentic services adhering to the Model Context Protocol (MCP).
About
Smithery is a comprehensive platform designed to help developers find and deploy agentic services that comply with the Model Context Protocol (MCP). It serves as a centralized hub for discovering MCP servers, offering hosting and distribution services, and providing standardized interfaces for tool integration and configurations. By simplifying the integration of language model agents with external tools and data sources, Smithery accelerates the development of agentic AI applications.
Key Capabilities
- Discovering and deploying MCP-compliant agentic services.
- Integrating language model agents with external tools and data sources.
- Standardizing tool configurations and interfaces for AI applications.
- Hosting and distributing MCP servers for broader accessibility.
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