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Merge pull request modelcontextprotocol#2804 from modelcontextprotocol/remove-clients-overview-page
Remove Example Clients overview page
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docs/clients.mdx

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docs/docs.json

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{
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"group": "Examples",
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"pages": [
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"clients",
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"examples"
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]
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}
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}
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"redirects": [
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{
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"source": "/clients",
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"destination": "/docs/getting-started/intro"
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},
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"source": "/specification/versioning",
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docs/docs/develop/build-client.mdx

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<Card title="Example servers" icon="grid" href="/examples">
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Check out our gallery of official MCP servers and implementations
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</Card>
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<Card title="Example clients" icon="cubes" href="/clients">
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View the list of clients that support MCP integrations
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</Card>
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docs/docs/develop/build-server.mdx

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<Note>
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Servers can connect to any client. We've chosen Claude for Desktop here for simplicity, but we also have guides on [building your own client](/docs/develop/build-client) as well as a [list of other clients here](/clients).
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Servers can connect to any client. We've chosen Claude for Desktop here for simplicity, but we also have a guide on [building your own client](/docs/develop/build-client).
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</Note>
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docs/docs/develop/connect-local-servers.mdx

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Model Context Protocol (MCP) servers extend AI applications' capabilities by providing secure, controlled access to local resources and tools. Many clients support MCP, enabling diverse integration possibilities across different platforms and applications.
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This guide demonstrates how to connect to local MCP servers using Claude Desktop as an example, one of the [many clients that support MCP](/clients). While we focus on Claude Desktop's implementation, the concepts apply broadly to other MCP-compatible clients. By the end of this tutorial, Claude will be able to interact with files on your computer, create new documents, organize folders, and search through your file system—all with your explicit permission for each action.
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This guide demonstrates how to connect to local MCP servers using Claude Desktop as an example, one of the many clients that support MCP. While we focus on Claude Desktop's implementation, the concepts apply broadly to other MCP-compatible clients. By the end of this tutorial, Claude will be able to interact with files on your computer, create new documents, organize folders, and search through your file system—all with your explicit permission for each action.
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<Frame>
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<img

docs/docs/develop/connect-remote-servers.mdx

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Remote MCP servers extend AI applications' capabilities beyond your local environment, providing access to internet-hosted tools, services, and data sources. By connecting to remote MCP servers, you transform AI assistants from helpful tools into informed teammates capable of handling complex, multi-step projects with real-time access to external resources.
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Many clients now support remote MCP servers, enabling a wide range of integration possibilities. This guide demonstrates how to connect to remote MCP servers using [Claude](https://claude.ai/) as an example, one of the [many clients that support MCP](/clients). While we focus on Claude's implementation through Custom Connectors, the concepts apply broadly to other MCP-compatible clients.
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Many clients now support remote MCP servers, enabling a wide range of integration possibilities. This guide demonstrates how to connect to remote MCP servers using [Claude](https://claude.ai/) as an example, one of the many clients that support MCP. While we focus on Claude's implementation through Custom Connectors, the concepts apply broadly to other MCP-compatible clients.
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## Understanding Remote MCP Servers
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docs/docs/getting-started/intro.mdx

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## Broad ecosystem support
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MCP is an open protocol supported across a wide range of clients and servers. AI assistants like [Claude](https://claude.com/docs/connectors/building) and [ChatGPT](https://developers.openai.com/api/docs/mcp/), development tools like [Visual Studio Code](https://code.visualstudio.com/docs/copilot/chat/mcp-servers), [Cursor](https://cursor.com/docs/context/mcp), [MCPJam](https://docs.mcpjam.com/getting-started), and [many others](/clients) all support MCP — making it easy to build once and integrate everywhere.
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MCP is an open protocol supported across a wide range of clients and servers. AI assistants like [Claude](https://claude.com/docs/connectors/building) and [ChatGPT](https://developers.openai.com/api/docs/mcp/), development tools like [Visual Studio Code](https://code.visualstudio.com/docs/copilot/chat/mcp-servers), [Cursor](https://cursor.com/docs/context/mcp), [MCPJam](https://docs.mcpjam.com/getting-started), and many others all support MCP — making it easy to build once and integrate everywhere.
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## Start Building
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docs/docs/tools/debugging.mdx

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## Debugging in Claude Desktop
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Claude Desktop is [one of many MCP clients](/clients). It is available on
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Claude Desktop is one of many MCP clients. It is available on
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macOS and Windows.
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### Checking server status

docs/extensions/client-matrix.mdx

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<Note>
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Auth extension support (OAuth Client Credentials and Enterprise-Managed Authorization) is tracked separately from the core MCP authorization features (DCR, CIMD) shown on the [clients page](/clients). Check each extension's specification and the [ext-auth repository](https://github.com/modelcontextprotocol/ext-auth) for the latest implementation status.
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Auth extension support (OAuth Client Credentials and Enterprise-Managed Authorization) is tracked separately from the core MCP authorization features (DCR, CIMD). Check each extension's specification and the [ext-auth repository](https://github.com/modelcontextprotocol/ext-auth) for the latest implementation status.
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</Note>
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