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@@ -291,7 +293,7 @@ The Claude desktop application provides comprehensive support for MCP, enabling
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[Continue](https://github.com/continuedev/continue) is an open-source AI code assistant, with built-in support for all MCP features.
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**Key features**
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**Key features:**
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- Type "@" to mention MCP resources
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- Prompt templates surface as slash commands
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[Cursor](https://docs.cursor.com/advanced/model-context-protocol) is an AI code editor.
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**Key Features**:
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**Key features:**
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- Support for MCP tools in Cursor Composer
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- Support for both STDIO and SSE
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[HyperAgent](https://github.com/hyperbrowserai/HyperAgent) is Playwright supercharged with AI. With HyperAgent, you no longer need brittle scripts, just powerful natural language commands. Using MCP servers, you can extend the capability of HyperAgent, without having to write any code.
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**Key features**
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**Key features:**
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- AI Commands: Simple APIs like page.ai(), page.extract() and executeTask() for any AI automation
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- Fallback to Regular Playwright: Use regular Playwright when AI isn't needed
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[MCPHub] is a powerful Neovim plugin that integrates MCP (Model Context Protocol) servers into your workflow.
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**Key features**
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**Key features:**
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- Install, configure and manage MCP servers with an intuitive UI.
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- Built-in Neovim MCP server with support for file operations (read, write, search, replace), command execution, terminal integration, LSP integration, buffers, and diagnostics.
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[Postman](https://postman.com/downloads) is the most popular API client and now supports MCP server testing and debugging.
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**Key features**:
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**Key features:**
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- Full support of all major MCP features (tools, prompts, resources, and subscriptions)
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- Fast, seamless UI for debugging MCP capabilities
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- Tight integration with editor features and workspace context
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- Does not support MCP resources
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### Zencoder
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[Zencoder](https://zecoder.ai) is a coding agent that's available as an extension for VS Code and JetBrains family of IDEs, meeting developers where they already work. It comes with RepoGrokking (deep contextual codebase understanding), agentic pipeline, and the ability to create and share custom agents.
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**Key features:**
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- RepoGrokking - deep contextual understanding of codebases
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- Agentic pipeline - runs, tests, and executes code before outputting it
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- Zen Agents platform - ability to build and create custom agents and share with the team
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- Integrated MCP tool library with one-click installations
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.
Copy file name to clipboardExpand all lines: docs/docs/concepts/architecture.mdx
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@@ -108,8 +108,8 @@ The transport layer handles the actual communication between clients and servers
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- Uses standard input/output for communication
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- Ideal for local processes
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2.**HTTP with SSE transport**
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- Uses Server-Sent Events for server-to-client messages
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2.**Streamable HTTP transport**
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- Uses HTTP with optional Server-Sent Events for streaming
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- HTTP POST for client-to-server messages
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All transports use [JSON-RPC](https://www.jsonrpc.org/) 2.0 to exchange messages. See the [specification](/specification/) for detailed information about the Model Context Protocol message format.
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- Simple process management
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2.**Remote communication**
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- Use SSE for scenarios requiring HTTP compatibility
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- Use Streamable HTTP for scenarios requiring HTTP compatibility
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- Consider security implications including authentication and authorization
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