Merge branch 'main' of github.com:modelcontextprotocol/docs into zack-lee/quickstart-updates

CONTRIBUTING.md

@@ -5,10 +5,9 @@ Thank you for your interest in contributing to the Model Context Protocol (MCP)
 ## Getting Started
 
 1. Install the required tools:
-    - Node.js
+   - Node.js
-    - Git
+   - Git
-    - [Mintlify CLI](https://www.npmjs.com/package/mintlify): `npm i -g mintlify`
+   - [Mintlify CLI](https://www.npmjs.com/package/mintlify): `npm i -g mintlify`
-
 2. Fork and clone the repository
 3. Create a new branch for your changes
 4. Run `mintlify dev` to preview changes locally

clients.mdx

@@ -13,11 +13,13 @@ This page provides an overview of applications that support the Model Context Pr
 | [Zed][Zed]                | ❌         | ✅         | ❌       | ❌          | ❌     | Prompts appear as slash commands                  |
 | [Sourcegraph Cody][Cody]  | ✅         | ❌         | ❌       | ❌          | ❌     | Supports resources through OpenCTX                |
 | [Firebase Genkit][Genkit] | ⚠️         | ✅         | ✅       | ❌          | ❌     | Supports resource list and lookup through tools.  |
+| [Continue][Continue]      | ✅         | ✅         | ✅       | ❌          | ❌     | Full support for all MCP features                 |
 
 [Claude]: https://claude.ai/download
 [Zed]: https://zed.dev
 [Cody]: https://sourcegraph.com/cody
 [Genkit]: https://github.com/firebase/genkit
+[Continue]: https://github.com/continuedev/continue
 
 [Resources]: https://modelcontextprotocol.io/docs/concepts/resources
 [Prompts]: https://modelcontextprotocol.io/docs/concepts/prompts
@@ -64,6 +66,15 @@ The Claude desktop application provides comprehensive support for MCP, enabling
 - Seamless interoperability with Genkit's existing tools and prompts
 - Works across a wide variety of GenAI models from top providers
 
+### Continue
+[Continue](https://github.com/continuedev/continue) is an open-source AI code assistant, with built-in support for all MCP features.
+
+**Key features**
+- Type "@" to mention MCP resources
+- Prompt templates surface as slash commands
+- Use both built-in and MCP tools directly in chat
+- Supports VS Code and JetBrains IDEs, with any LLM
+
 ## 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.

docs/first-server/python.mdx

@@ -751,7 +751,7 @@ uvicorn.run(app, host="0.0.0.0", port=8000)
               return mock_forecast_response
 
       class AsyncClient():
-          def __aenter__(self):
+          async def __aenter__(self):
               return self
 
           async def __aexit__(self, *exc_info):

mint.json

@@ -60,5 +60,8 @@
   ],
   "footerSocials": {
     "github": "https://github.com/modelcontextprotocol"
+  },
+  "feedback": {
+    "thumbsRating": true
   }
 }