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clients.mdx

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@@ -5,20 +5,20 @@ description: "A list of applications that support MCP integrations"
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This page provides an overview of applications that support the Model Context Protocol (MCP). Each client may support different MCP features, allowing for varying levels of integration with MCP servers.
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## Feature Support Matrix
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## Feature support matrix
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| Client | Resources | Prompts | Tools | Notes |
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|--------|-----------|---------|-------|-------|
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| Claude Desktop App |||| Full support for all MCP features |
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| Zed |||| Prompts appear as slash commands |
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| Sourcegraph Cody |||| Currently only supports resources through OpenCTX |
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| Client | Resources | Prompts | Tools | Sampling | Notes |
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|--------|-----------|---------|-------|----------|-------|
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| Claude Desktop App |||| | Full support for all MCP features except sampling |
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| Zed |||| | Prompts appear as slash commands |
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| Sourcegraph Cody |||| | Currently only supports resources through OpenCTX |
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## Client Details
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## Client details
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### Claude Desktop App
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The Claude desktop application provides comprehensive support for MCP, enabling deep integration with local tools and data sources.
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**Key Features:**
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**Key features:**
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- Full support for resources, allowing attachment of local files and data
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- Support for prompt templates
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- Tool integration for executing commands and scripts
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### Zed
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[Zed](https://zed.dev/docs/assistant/model-context-protocol) is a high-performance code editor with built-in MCP support, focusing on prompt templates and tool integration.
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**Key Features:**
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**Key features:**
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- Prompt templates surface as slash commands in the editor
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- Tool integration for enhanced coding workflows
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- Tight integration with editor features and workspace context
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### Sourcegraph Cody
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[Cody](https://openctx.org/docs/providers/modelcontextprotocol) is Sourcegraph's AI coding assistant, which implements MCP through OpenCTX.
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**Key Features:**
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**Key features:**
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- Support for MCP resources
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- Integration with Sourcegraph's code intelligence
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- Uses OpenCTX as an abstraction layer
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- Future support planned for additional MCP features
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## Adding MCP Support to Your Application
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## Adding MCP support to your application
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If you've added MCP support to your application, we encourage you to submit a pull request to add it to this list. MCP integration can provide your users with powerful contextual AI capabilities and make your application part of the growing MCP ecosystem.
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- Provide users with flexible integration options
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- Support local-first AI workflows
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To get started with implementing MCP in your application, check out our [SDK documentation](/sdks) and [integration guide](/integration-guide).
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To get started with implementing MCP in your application, check out our [Python](https://github.com/modelcontextprotocol/python-sdk) or [TypeScript SDK Documentation](https://github.com/modelcontextprotocol/typescript-sdk)
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## Updates and Corrections
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## Updates and corrections
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This list is maintained by the community. If you notice any inaccuracies or would like to update information about MCP support in your application, please submit a pull request or open an issue in our documentation repository.

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