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270 lines
17 KiB
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---
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title: "Example Clients"
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description: "A list of applications that support MCP integrations"
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---
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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.
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## Feature support matrix
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| Client | [Resources] | [Prompts] | [Tools] | [Sampling] | Roots | Notes |
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|---------------------------------------------|-------------|-----------|---------|------------|--------|-----------------------------------------------------------------------------|
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| [Claude Desktop App][Claude] | ✅ | ✅ | ✅ | ❌ | ❌ | Full support for all MCP features |
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| [5ire][5ire] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools. |
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| [BeeAI Framework][BeeAI Framework] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools in agentic workflows. |
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| [Cline][Cline] | ✅ | ❌ | ✅ | ❌ | ❌ | Supports tools and resources. |
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| [Continue][Continue] | ✅ | ✅ | ✅ | ❌ | ❌ | Full support for all MCP features |
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| [Cursor][Cursor] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools. |
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| [Emacs Mcp][Mcp.el] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools in Emacs. |
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| [Firebase Genkit][Genkit] | ⚠️ | ✅ | ✅ | ❌ | ❌ | Supports resource list and lookup through tools. |
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| [GenAIScript][GenAIScript] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools. |
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| [Goose][Goose] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools. |
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| [LibreChat][LibreChat] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools for Agents |
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| [mcp-agent][mcp-agent] | ❌ | ❌ | ✅ | ⚠️ | ❌ | Supports tools, server connection management, and agent workflows. |
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| [oterm][oterm] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools. |
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| [Roo Code][Roo Code] | ✅ | ❌ | ✅ | ❌ | ❌ | Supports tools and resources. |
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| [Sourcegraph Cody][Cody] | ✅ | ❌ | ❌ | ❌ | ❌ | Supports resources through OpenCTX |
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| [Superinterface][Superinterface] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools |
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| [TheiaAI/TheiaIDE][TheiaAI/TheiaIDE] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools for Agents in Theia AI and the AI-powered Theia IDE |
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| [Windsurf Editor][Windsurf] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools with AI Flow for collaborative development. |
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| [Zed][Zed] | ❌ | ✅ | ❌ | ❌ | ❌ | Prompts appear as slash commands |
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| [SpinAI][SpinAI] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools for Typescript AI Agents |
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| [OpenSumi][OpenSumi] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools in OpenSumi |
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| [Daydreams Agents][Daydreams] | ✅ | ✅ | ✅ | ❌ | ❌ | Support for drop in Servers to Daydreams agents |
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[Claude]: https://claude.ai/download
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[Cursor]: https://cursor.com
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[Zed]: https://zed.dev
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[Cody]: https://sourcegraph.com/cody
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[Genkit]: https://github.com/firebase/genkit
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[Continue]: https://github.com/continuedev/continue
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[GenAIScript]: https://microsoft.github.io/genaiscript/reference/scripts/mcp-tools/
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[Cline]: https://github.com/cline/cline
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[LibreChat]: https://github.com/danny-avila/LibreChat
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[TheiaAI/TheiaIDE]: https://eclipsesource.com/blogs/2024/12/19/theia-ide-and-theia-ai-support-mcp/
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[Superinterface]: https://superinterface.ai
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[5ire]: https://github.com/nanbingxyz/5ire
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[BeeAI Framework]: https://i-am-bee.github.io/beeai-framework
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[mcp-agent]: https://github.com/lastmile-ai/mcp-agent
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[Mcp.el]: https://github.com/lizqwerscott/mcp.el
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[Roo Code]: https://roocode.com
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[Goose]: https://block.github.io/goose/docs/goose-architecture/#interoperability-with-extensions
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[Windsurf]: https://codeium.com/windsurf
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[Daydreams]: https://github.com/daydreamsai/daydreams
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[SpinAI]: https://spinai.dev
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[OpenSumi]: https://github.com/opensumi/core
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[oterm]: https://github.com/ggozad/oterm
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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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[Sampling]: https://modelcontextprotocol.io/docs/concepts/sampling
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## Client details
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### Claude Desktop App
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The Claude desktop application provides comprehensive support for MCP, enabling deep integration with local tools and data sources.
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**Key features:**
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- Full support for resources, allowing attachment of local files and data
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- Support for prompt templates
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- Tool integration for executing commands and scripts
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- Local server connections for enhanced privacy and security
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> ⓘ Note: The Claude.ai web application does not currently support MCP. MCP features are only available in the desktop application.
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### 5ire
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[5ire](https://github.com/nanbingxyz/5ire) is an open source cross-platform desktop AI assistant that supports tools through MCP servers.
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**Key features:**
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- Built-in MCP servers can be quickly enabled and disabled.
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- Users can add more servers by modifying the configuration file.
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- It is open-source and user-friendly, suitable for beginners.
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- Future support for MCP will be continuously improved.
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### BeeAI Framework
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[BeeAI Framework](https://i-am-bee.github.io/beeai-framework) is an open-source framework for building, deploying, and serving powerful agentic workflows at scale. The framework includes the **MCP Tool**, a native feature that simplifies the integration of MCP servers into agentic workflows.
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**Key features:**
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- Seamlessly incorporate MCP tools into agentic workflows.
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- Quickly instantiate framework-native tools from connected MCP client(s).
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- Planned future support for agentic MCP capabilities.
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**Learn more:**
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- [Example of using MCP tools in agentic workflow](https://i-am-bee.github.io/beeai-framework/#/typescript/tools?id=using-the-mcptool-class)
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### Cline
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[Cline](https://github.com/cline/cline) is an autonomous coding agent in VS Code that edits files, runs commands, uses a browser, and more–with your permission at each step.
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**Key features:**
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- Create and add tools through natural language (e.g. "add a tool that searches the web")
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- Share custom MCP servers Cline creates with others via the `~/Documents/Cline/MCP` directory
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- Displays configured MCP servers along with their tools, resources, and any error logs
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### Continue
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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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- Type "@" to mention MCP resources
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- Prompt templates surface as slash commands
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- Use both built-in and MCP tools directly in chat
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- Supports VS Code and JetBrains IDEs, with any LLM
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### Cursor
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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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- Support for MCP tools in Cursor Composer
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- Support for both STDIO and SSE
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### Emacs Mcp
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[Emacs Mcp](https://github.com/lizqwerscott/mcp.el) is an Emacs client designed to interface with MCP servers, enabling seamless connections and interactions. It provides MCP tool invocation support for AI plugins like [gptel](https://github.com/karthink/gptel) and [llm](https://github.com/ahyatt/llm), adhering to Emacs' standard tool invocation format. This integration enhances the functionality of AI tools within the Emacs ecosystem.
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**Key features:**
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- Provides MCP tool support for Emacs.
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### Firebase Genkit
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[Genkit](https://github.com/firebase/genkit) is Firebase's SDK for building and integrating GenAI features into applications. The [genkitx-mcp](https://github.com/firebase/genkit/tree/main/js/plugins/mcp) plugin enables consuming MCP servers as a client or creating MCP servers from Genkit tools and prompts.
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**Key features:**
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- Client support for tools and prompts (resources partially supported)
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- Rich discovery with support in Genkit's Dev UI playground
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- Seamless interoperability with Genkit's existing tools and prompts
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- Works across a wide variety of GenAI models from top providers
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### GenAIScript
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Programmatically assemble prompts for LLMs using [GenAIScript](https://microsoft.github.io/genaiscript/) (in JavaScript). Orchestrate LLMs, tools, and data in JavaScript.
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**Key features:**
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- JavaScript toolbox to work with prompts
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- Abstraction to make it easy and productive
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- Seamless Visual Studio Code integration
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### Goose
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[Goose](https://github.com/block/goose) is an open source AI agent that supercharges your software development by automating coding tasks.
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**Key features:**
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- Expose MCP functionality to Goose through tools.
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- MCPs can be installed directly via the [extensions directory](https://block.github.io/goose/v1/extensions/), CLI, or UI.
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- Goose allows you to extend its functionality by [building your own MCP servers](https://block.github.io/goose/docs/tutorials/custom-extensions).
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- Includes built-in tools for development, web scraping, automation, memory, and integrations with JetBrains and Google Drive.
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### LibreChat
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[LibreChat](https://github.com/danny-avila/LibreChat) is an open-source, customizable AI chat UI that supports multiple AI providers, now including MCP integration.
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**Key features:**
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- Extend current tool ecosystem, including [Code Interpreter](https://www.librechat.ai/docs/features/code_interpreter) and Image generation tools, through MCP servers
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- Add tools to customizable [Agents](https://www.librechat.ai/docs/features/agents), using a variety of LLMs from top providers
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- Open-source and self-hostable, with secure multi-user support
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- Future roadmap includes expanded MCP feature support
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### mcp-agent
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[mcp-agent] is a simple, composable framework to build agents using Model Context Protocol.
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**Key features:**
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- Automatic connection management of MCP servers.
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- Expose tools from multiple servers to an LLM.
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- Implements every pattern defined in [Building Effective Agents](https://www.anthropic.com/research/building-effective-agents).
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- Supports workflow pause/resume signals, such as waiting for human feedback.
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### oterm
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[oterm] is a terminal client for Ollama allowing users to create chats/agents.
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**Key features:**
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- Support for multiple fully customizable chat sessions with Ollama connected with tools.
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- Support for MCP tools.
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### Roo Code
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[Roo Code](https://roocode.com) enables AI coding assistance via MCP.
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**Key features:**
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- Support for MCP tools and resources
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- Integration with development workflows
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- Extensible AI capabilities
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### Sourcegraph Cody
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[Cody](https://openctx.org/docs/providers/modelcontextprotocol) is Sourcegraph's AI coding assistant, which implements MCP through OpenCTX.
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**Key features:**
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- Support for MCP resources
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- Integration with Sourcegraph's code intelligence
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- Uses OpenCTX as an abstraction layer
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- Future support planned for additional MCP features
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### SpinAI
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[SpinAI](https://spinai.dev) is an open-source TypeScript framework for building observable AI agents. The framework provides native MCP compatibility, allowing agents to seamlessly integrate with MCP servers and tools.
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**Key features:**
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- Built-in MCP compatibility for AI agents
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- Open-source TypeScript framework
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- Observable agent architecture
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- Native support for MCP tools integration
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### Superinterface
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[Superinterface](https://superinterface.ai) is AI infrastructure and a developer platform to build in-app AI assistants with support for MCP, interactive components, client-side function calling and more.
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**Key features:**
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- Use tools from MCP servers in assistants embedded via React components or script tags
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- SSE transport support
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- Use any AI model from any AI provider (OpenAI, Anthropic, Ollama, others)
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### TheiaAI/TheiaIDE
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[Theia AI](https://eclipsesource.com/blogs/2024/10/07/introducing-theia-ai/) is a framework for building AI-enhanced tools and IDEs. The [AI-powered Theia IDE](https://eclipsesource.com/blogs/2024/10/08/introducting-ai-theia-ide/) is an open and flexible development environment built on Theia AI.
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**Key features:**
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- **Tool Integration**: Theia AI enables AI agents, including those in the Theia IDE, to utilize MCP servers for seamless tool interaction.
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- **Customizable Prompts**: The Theia IDE allows users to define and adapt prompts, dynamically integrating MCP servers for tailored workflows.
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- **Custom agents**: The Theia IDE supports creating custom agents that leverage MCP capabilities, enabling users to design dedicated workflows on the fly.
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Theia AI and Theia IDE's MCP integration provide users with flexibility, making them powerful platforms for exploring and adapting MCP.
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**Learn more:**
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- [Theia IDE and Theia AI MCP Announcement](https://eclipsesource.com/blogs/2024/12/19/theia-ide-and-theia-ai-support-mcp/)
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- [Download the AI-powered Theia IDE](https://theia-ide.org/)
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### Windsurf Editor
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[Windsurf Editor](https://codeium.com/windsurf) is an agentic IDE that combines AI assistance with developer workflows. It features an innovative AI Flow system that enables both collaborative and independent AI interactions while maintaining developer control.
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**Key features:**
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- Revolutionary AI Flow paradigm for human-AI collaboration
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- Intelligent code generation and understanding
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- Rich development tools with multi-model support
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### Zed
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[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.
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**Key features:**
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- Prompt templates surface as slash commands in the editor
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- Tool integration for enhanced coding workflows
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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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### OpenSumi
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[OpenSumi](https://github.com/opensumi/core) is a framework helps you quickly build AI Native IDE products.
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**Key features:**
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- Supports MCP tools in OpenSumi
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- Supports built-in IDE MCP servers and custom MCP servers
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### Daydreams
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[Daydreams](https://github.com/daydreamsai/daydreams) is a generative agent framework for executing anything onchain
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**Key features:**
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- Supports MCP Servers in config
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- Exposes MCP Client
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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.
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Benefits of adding MCP support:
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- Enable users to bring their own context and tools
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- Join a growing ecosystem of interoperable AI applications
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- Provide users with flexible integration options
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- Support local-first AI workflows
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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)
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## Updates and corrections
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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).
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