|
| 1 | +--- |
| 2 | +title: "Clients" |
| 3 | +description: "A list of applications that support MCP integrations" |
| 4 | +--- |
| 5 | + |
| 6 | +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. |
| 7 | + |
| 8 | +## Feature Support Matrix |
| 9 | + |
| 10 | +| Client | Resources | Prompts | Tools | Notes | |
| 11 | +|--------|-----------|---------|-------|-------| |
| 12 | +| Claude Desktop App | ✅ | ✅ | ✅ | Full support for all MCP features | |
| 13 | +| Zed | ❌ | ✅ | ✅ | Prompts appear as slash commands | |
| 14 | +| Sourcegraph Cody | ✅ | ❌ | ❌ | Currently only supports resources through OpenCTX | |
| 15 | + |
| 16 | +## Client Details |
| 17 | + |
| 18 | +### Claude Desktop App |
| 19 | +The Claude desktop application provides comprehensive support for MCP, enabling deep integration with local tools and data sources. |
| 20 | + |
| 21 | +**Key Features:** |
| 22 | +- Full support for resources, allowing attachment of local files and data |
| 23 | +- Support for prompt templates |
| 24 | +- Tool integration for executing commands and scripts |
| 25 | +- Local server connections for enhanced privacy and security |
| 26 | + |
| 27 | +> ⓘ Note: The Claude.ai web application does not currently support MCP. MCP features are only available in the desktop application. |
| 28 | +
|
| 29 | +### Zed |
| 30 | +[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. |
| 31 | + |
| 32 | +**Key Features:** |
| 33 | +- Prompt templates surface as slash commands in the editor |
| 34 | +- Tool integration for enhanced coding workflows |
| 35 | +- Tight integration with editor features and workspace context |
| 36 | +- Does not support MCP resources |
| 37 | + |
| 38 | +### Sourcegraph Cody |
| 39 | +[Cody](https://openctx.org/docs/providers/modelcontextprotocol) is Sourcegraph's AI coding assistant, which implements MCP through OpenCTX. |
| 40 | + |
| 41 | +**Key Features:** |
| 42 | +- Support for MCP resources |
| 43 | +- Integration with Sourcegraph's code intelligence |
| 44 | +- Uses OpenCTX as an abstraction layer |
| 45 | +- Future support planned for additional MCP features |
| 46 | + |
| 47 | +## Adding MCP Support to Your Application |
| 48 | + |
| 49 | +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. |
| 50 | + |
| 51 | +Benefits of adding MCP support: |
| 52 | +- Enable users to bring their own context and tools |
| 53 | +- Join a growing ecosystem of interoperable AI applications |
| 54 | +- Provide users with flexible integration options |
| 55 | +- Support local-first AI workflows |
| 56 | + |
| 57 | +To get started with implementing MCP in your application, check out our [SDK documentation](/sdks) and [integration guide](/integration-guide). |
| 58 | + |
| 59 | +## Updates and Corrections |
| 60 | + |
| 61 | +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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