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update mcp page based on feedback
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fern/products/docs/docs.yml

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@@ -104,8 +104,9 @@ navigation:
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contents:
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- link: Ask Fern
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href: /learn/ask-fern/getting-started/what-is-ask-fern
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- page: MCP server
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- page: MCP server for your site
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path: ./pages/ai/mcp-server.mdx
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slug: mcp-server
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- section: Preview & publish
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collapsed: true
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contents:

fern/products/docs/pages/ai/mcp-server.mdx

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description: Learn how to use the Model Context Protocol (MCP) to integrate AI capabilities with your Fern documentation
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---
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<Tip title="Looking for Fern's own MCP server?">
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If you want to connect your AI client to Fern's MCP server for help with Ask Fern, Docs, and SDKs, see the [fern-mcp-server repository](https://github.com/fern-api/fern-mcp-server). This page describes how Fern can help you build an MCP server for your own docs site.
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</Tip>
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<Markdown src="/snippets/wip-callout.mdx" />
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[Model Context Protocol (MCP)](https://modelcontextprotocol.io) is an open standard by Anthropic that enables AI applications to connect with external data sources and tools.
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Fern analyzes your docs site structure and content, then generates an MCP server. AI assistants access your docs through tools like semantic search, endpoint lookup, and code example retrieval.
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This makes your documentation "AI-native" and accessible within the AI tools your developers already use.
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<Markdown src="/snippets/wip-callout.mdx" />
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This makes your documentation accessible within the AI tools your developers already use.
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## How developers use it
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Developers simply add your MCP server to their AI client configuration. With an MCP server for your docs, developers can ask their AI assistant questions like:
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* "How do I authenticate with this API?"
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* "Show me code examples for creating a user"
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* "What are the rate limits for the search endpoint?"
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The AI assistant will automatically search your documentation and provide accurate, up-to-date answers with relevant code examples – all without leaving their current tool.
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Developers can access your MCP server by visiting `your-documentation-site.com/mcp` and copying the configuration snippet to add to their AI client settings. Once integrated, their AI client can automatically search your documentation and provide accurate, up-to-date answers with relevant code examples – all without leaving their development environment.

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