| title | description |
|---|---|
Example Clients |
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.
| Client | Resources | Prompts | Tools | Sampling | Roots | Notes |
|---|---|---|---|---|---|---|
| Claude Desktop App | ✅ | ✅ | ✅ | ❌ | ❌ | Full support for all MCP features |
| Zed | ❌ | ✅ | ❌ | ❌ | ❌ | Prompts appear as slash commands |
| Sourcegraph Cody | ✅ | ❌ | ❌ | ❌ | ❌ | Supports resources through OpenCTX |
| Firebase Genkit | ✅ | ✅ | ❌ | ❌ | Supports resource list and lookup through tools. | |
| Continue | ✅ | ✅ | ✅ | ❌ | ❌ | Full support for all MCP features |
| GenAIScript | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools. |
| Cline | ✅ | ❌ | ✅ | ❌ | ❌ | Supports tools and resources. |
| LibreChat | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools for Agents |
| TheiaAI/TheiaIDE | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools for Agents in Theia AI and the AI-powered Theia IDE |
| Superinterface | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools |
The Claude desktop application provides comprehensive support for MCP, enabling deep integration with local tools and data sources.
Key features:
- Full support for resources, allowing attachment of local files and data
- Support for prompt templates
- Tool integration for executing commands and scripts
- Local server connections for enhanced privacy and security
ⓘ Note: The Claude.ai web application does not currently support MCP. MCP features are only available in the desktop application.
Zed is a high-performance code editor with built-in MCP support, focusing on prompt templates and tool integration.
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
- Does not support MCP resources
Cody is Sourcegraph's AI coding assistant, which implements MCP through OpenCTX.
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
Genkit is Firebase's SDK for building and integrating GenAI features into applications. The genkitx-mcp plugin enables consuming MCP servers as a client or creating MCP servers from Genkit tools and prompts.
Key features:
- Client support for tools and prompts (resources partially supported)
- Rich discovery with support in Genkit's Dev UI playground
- Seamless interoperability with Genkit's existing tools and prompts
- Works across a wide variety of GenAI models from top providers
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
Programmatically assemble prompts for LLMs using GenAIScript (in JavaScript). Orchestrate LLMs, tools, and data in JavaScript.
Key features:
- JavaScript toolbox to work with prompts
- Abstraction to make it easy and productive
- Seamless Visual Studio Code integration
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.
Key features:
- Create and add tools through natural language (e.g. "add a tool that searches the web")
- Share custom MCP servers Cline creates with others via the
~/Documents/Cline/MCPdirectory - Displays configured MCP servers along with their tools, resources, and any error logs
LibreChat is an open-source, customizable AI chat UI that supports multiple AI providers, now including MCP integration.
Key features:
- Extend current tool ecosystem, including Code Interpreter and Image generation tools, through MCP servers
- Add tools to customizable Agents, using a variety of LLMs from top providers
- Open-source and self-hostable, with secure multi-user support
- Future roadmap includes expanded MCP feature support
Theia AI is a framework for building AI-enhanced tools and IDEs. The AI-powered Theia IDE is an open and flexible development environment built on Theia AI.
Key features:
- Tool Integration: Theia AI enables AI agents, including those in the Theia IDE, to utilize MCP servers for seamless tool interaction.
- Customizable Prompts: The Theia IDE allows users to define and adapt prompts, dynamically integrating MCP servers for tailored workflows.
- Custom agents: The Theia IDE supports creating custom agents that leverage MCP capabilities, enabling users to design dedicated workflows on the fly.
Theia AI and Theia IDE's MCP integration provide users with flexibility, making them powerful platforms for exploring and adapting MCP.
Learn more:
Superinterface 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.
Key features:
- Use tools from MCP servers in assistants embedded via React components or script tags
- SSE transport support
- Use any AI model from any AI provider (OpenAI, Anthropic, Ollama, others)
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.
Benefits of adding MCP support:
- Enable users to bring their own context and tools
- Join a growing ecosystem of interoperable AI applications
- Provide users with flexible integration options
- Support local-first AI workflows
To get started with implementing MCP in your application, check out our Python or TypeScript SDK Documentation
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.