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Documentation Index

Fetch the complete documentation index at: https://smithery.ai/docs/llms.txt

Use this file to discover all available pages before exploring further.

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What can I do with Smithery?

Smithery connects your AI agent to a growing catalog of tools and integrations — and lets you publish your own for others to use. A few popular ones:
  • Exa - Search the live web, access LinkedIn profiles, do deep research, and more
  • Context7 - Reference the latest docs for most major SDKs and frameworks directly in Cursor or Claude Code
  • Browserbase - Control a remote web browser using Stagehand

How does Smithery work?

Under the hood, Smithery speaks the Model Context Protocol (MCP). Learn more in our concepts section.

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Why Smithery?

Whether you’re building chatbots, background agents, or AI copilots, Smithery handles the messy parts of plugging agents into external services:
  • Zero OAuth configuration — No redirect URIs, client IDs, or secrets to manage
  • Automatic token refresh — Credentials stay valid without manual intervention
  • Secure credential storage — Encrypted, write-only storage for API keys and tokens
  • Stateless for you — Connection lifecycle managed automatically

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Quickstarts

Connect tools to your agent

Add integrations to your app with managed OAuth and credentials

Publish an integration

Publish your MCP server to Smithery for distribution and observability

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LLM-Friendly Docs

The Smithery documentation is available in multiple LLM-friendly formats:

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MCP Server

The Smithery docs are accessible via MCP at https://smithery.ai/docs/mcp. You can also use the Context7 MCP server to search the Smithery documentation.

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Agent Scaffolds

Reference implementations for building agents with Smithery:

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Markdown Format

Any page can be accessed as markdown by appending .md to the URL. For example, this page becomes https://smithery.ai/docs/index.md. You can also copy any page as markdown directly from the documentation.