Fixed grammar and links for Clients.mdx

clients.mdx

@@ -5,7 +5,7 @@ description: "A list of applications that support MCP integrations"
 
 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.
 
-## Feature Support Matrix
+## Feature support matrix
 
 | Client                    | [Resources] | [Prompts] | [Tools] | [Sampling] | Roots | Notes                                             |
 |---------------------------|-------------|-----------|---------|------------|-------|---------------------------------------------------|
@@ -22,12 +22,12 @@ This page provides an overview of applications that support the Model Context Pr
 [Tools]: https://modelcontextprotocol.io/docs/concepts/tools
 [Sampling]: https://modelcontextprotocol.io/docs/concepts/sampling
 
-## Client Details
+## Client details
 
 ### Claude Desktop App
 The Claude desktop application provides comprehensive support for MCP, enabling deep integration with local tools and data sources.
 
-**Key Features:**
+**Key features:**
 - Full support for resources, allowing attachment of local files and data
 - Support for prompt templates
 - Tool integration for executing commands and scripts
@@ -38,7 +38,7 @@ The Claude desktop application provides comprehensive support for MCP, enabling
 ### Zed
 [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.
 
-**Key Features:**
+**Key features:**
 - Prompt templates surface as slash commands in the editor
 - Tool integration for enhanced coding workflows
 - Tight integration with editor features and workspace context
@@ -47,13 +47,13 @@ The Claude desktop application provides comprehensive support for MCP, enabling
 ### Sourcegraph Cody
 [Cody](https://openctx.org/docs/providers/modelcontextprotocol) is Sourcegraph's AI coding assistant, which implements MCP through OpenCTX.
 
-**Key Features:**
+**Key features:**
 - Support for MCP resources
 - Integration with Sourcegraph's code intelligence
 - Uses OpenCTX as an abstraction layer
 - Future support planned for additional MCP features
 
-## Adding MCP Support to Your Application
+## Adding MCP support to your application
 
 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.
 
@@ -63,8 +63,8 @@ Benefits of adding MCP support:
 - Provide users with flexible integration options
 - Support local-first AI workflows
 
-To get started with implementing MCP in your application, check out our [SDK documentation](/sdks) and [integration guide](/integration-guide).
+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)
 
-## Updates and Corrections
+## Updates and corrections
 
-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.
+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](https://github.com/modelcontextprotocol/docs/issues).