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docs/clients.mdx

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@@ -59,10 +59,12 @@ This page provides an overview of applications that support the Model Context Pr
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| [Tome][Tome] ||||||| Supports tools, manages MCP servers. |
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| [TypingMind App][TypingMind App] ||||||| Supports tools at app-level (appear as plugins) or when assigned to Agents |
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| [VS Code GitHub Copilot][VS Code] ||||||| Supports dynamic tool/roots discovery, secure secret configuration, and explicit tool prompting |
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| [Warp][Warp] ||||||| Supports tools, resources, and most of the discovery criteria |
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| [WhatsMPC][WhatsMPC] ||||||| Supports tools for Remote MCP Servers in WhatsApp |
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| [Windsurf Editor][Windsurf] ||||||| Supports tools with AI Flow for collaborative development. |
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| [Witsy][Witsy] ||||||| Supports tools in Witsy. |
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| [Zed][Zed] ||||||| Prompts appear as slash commands |
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| [Zencoder][Zencoder] ||||||| Supports tools |
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[5ire]: https://github.com/nanbingxyz/5ire
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[AgentAI]: https://github.com/AdamStrojek/rust-agentai
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[VS Code]: https://code.visualstudio.com/
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[Windsurf]: https://codeium.com/windsurf
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[gptme]: https://github.com/gptme/gptme
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[Warp]: https://www.warp.dev/
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[WhatsMPC]: https://wassist.app/mcp/
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[Witsy]: https://github.com/nbonamy/witsy
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[Zed]: https://zed.dev
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[Zencoder]: https://zencoder.ai
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[Resources]: https://modelcontextprotocol.io/docs/concepts/resources
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[Prompts]: https://modelcontextprotocol.io/docs/concepts/prompts
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[Tools]: https://modelcontextprotocol.io/docs/concepts/tools
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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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- Tool calls with editable inputs and always-allow toggle
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- Integration with existing VS Code extension system to register MCP servers from extensions
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### Warp
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[Warp](https://www.warp.dev/) is the intelligent terminal with AI and your dev team's knowledge built-in. With natural language capabilities integrated directly into an agentic command line, Warp enables developers to code, automate, and collaborate more efficiently -- all within a terminal that features a modern UX.
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**Key features:**
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- **Agent Mode with MCP support**: invoke tools and access data from MCP servers using natural language prompts
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- **Flexible server management**: add and manage CLI or SSE-based MCP servers via Warp's built-in UI
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- **Live tool/resource discovery**: view tools and resources from each running MCP server
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- **Configurable startup**: set MCP servers to start automatically with Warp or launch them manually as needed
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### WhatsMPC
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[WhatsMPC](https://wassist.app/mcp/) is an MCP client for WhatsApp. WhatsMCP lets you interact with your AI stack from the comfort of a WhatsApp chat.
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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
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- Specialized agents for Unit and E2E Testing
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**Learn more:**
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- [Zencoder Documentation](https://docs.zencoder.ai)
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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.

docs/docs/concepts/architecture.mdx

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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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### Message handling

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