diff --git a/agent/index.mdx b/agent/index.mdx index 1ce09e3f4..af68ec97f 100644 --- a/agent/index.mdx +++ b/agent/index.mdx @@ -45,12 +45,16 @@ The agent can only access repositories that you connect through the Mintlify Git The agent works asynchronously through pull requests, but you can also use AI coding tools like Cursor or Claude Code locally for fast, iterative edits. Install the Mintlify [skill](/ai/skillmd) and connect the [MCP server](/ai/model-context-protocol) so your editor has the same context the agent uses. - +To let an external agent edit your content directly through MCP tool calls, connect it to the [Mintlify MCP server](/ai/mintlify-mcp). + + Install the Mintlify skill to get context on Mintlify project structure, components, and documentation best practices: npx skills add https://mintlify.com/docs -Then add the Mintlify MCP server for access to documentation search. Follow the setup instructions at https://www.mintlify.com/docs/ai/model-context-protocol.md +Then add the Mintlify Docs MCP server for access to documentation search. https://mintlify.com/docs/mcp + +Then add the Mintlify MCP server for access to the dashboard and other Mintlify-specific tools. https://mcp.mintlify.com ## Next steps diff --git a/ai/model-context-protocol.mdx b/ai/model-context-protocol.mdx index e7d1924f8..6f0daca1e 100644 --- a/ai/model-context-protocol.mdx +++ b/ai/model-context-protocol.mdx @@ -12,6 +12,10 @@ The Model Context Protocol (MCP) is an open protocol that creates standardized c Your MCP server exposes tools for AI applications to search your documentation and retrieve full page content. Your users must connect your MCP server to their tools. + + Looking to let agents edit your content instead of read it? See the [Mintlify MCP server](/ai/mintlify-mcp) for an authenticated MCP server that exposes branching, page editing, navigation, and `docs.json` tools to trusted agents. + + ### How MCP servers work When an AI application connects to your documentation MCP server, it can search your documentation and retrieve full page content directly in response to a user's prompt instead of relying on information from its training data or making a generic web search. Your MCP server provides access to all indexed content on your documentation site.