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@ -10,17 +10,20 @@ This page provides an overview of applications that support the Model Context Pr
| Client | [Resources] | [Prompts] | [Tools] | [Sampling] | Roots | Notes |
|---------------------------------------------|-------------|-----------|---------|------------|--------|-----------------------------------------------------------------------------|
| [Claude Desktop App][Claude] | ✅ | ✅ | ✅ | ❌ | ❌ | Full support for all MCP features |
| [Claude Code][Claude Code] | ❌ | ✅ | ✅ | ❌ | ❌ | Supports prompts and tools |
| [5ire][5ire] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools. |
| [BeeAI Framework][BeeAI Framework] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools in agentic workflows. |
| [Cline][Cline] | ✅ | ❌ | ✅ | ❌ | ❌ | Supports tools and resources. |
| [Continue][Continue] | ✅ | ✅ | ✅ | ❌ | ❌ | Full support for all MCP features |
| [Cursor][Cursor] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools. |
| [Emacs Mcp][Mcp.el] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools in Emacs. |
| [fast-agent][fast-agent] | ✅ | ✅ | ✅ | ✅ | ✅ | Full multimodal MCP support, with end-to-end tests |
| [Firebase Genkit][Genkit] | ⚠️ | ✅ | ✅ | ❌ | ❌ | Supports resource list and lookup through tools. |
| [GenAIScript][GenAIScript] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools. |
| [Goose][Goose] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools. |
| [LibreChat][LibreChat] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools for Agents |
| [mcp-agent][mcp-agent] | ❌ | ❌ | ✅ | ⚠️ | ❌ | Supports tools, server connection management, and agent workflows. |
| [oterm][oterm] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools. |
| [Roo Code][Roo Code] | ✅ | ❌ | ✅ | ❌ | ❌ | Supports tools and resources. |
| [Sourcegraph Cody][Cody] | ✅ | ❌ | ❌ | ❌ | ❌ | Supports resources through OpenCTX |
| [Superinterface][Superinterface] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools |
@ -28,9 +31,14 @@ This page provides an overview of applications that support the Model Context Pr
| [Windsurf Editor][Windsurf] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools with AI Flow for collaborative development. |
| [Witsy][Witsy] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools in Witsy. |
| [Zed][Zed] | ❌ | ✅ | ❌ | ❌ | ❌ | Prompts appear as slash commands |
| [SpinAI][SpinAI] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools for Typescript AI Agents |
| [OpenSumi][OpenSumi] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools in OpenSumi |
| [Daydreams Agents][Daydreams] | ✅ | ✅ | ✅ | ❌ | ❌ | Support for drop in Servers to Daydreams agents |
| [Apify MCP Tester][Apify MCP Tester] | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools |
[Claude]: https://claude.ai/download
[Claude Code]: https://claude.ai/code
[Cursor]: https://cursor.com
[Zed]: https://zed.dev
[Cody]: https://sourcegraph.com/cody
@ -42,14 +50,19 @@ This page provides an overview of applications that support the Model Context Pr
[TheiaAI/TheiaIDE]: https://eclipsesource.com/blogs/2024/12/19/theia-ide-and-theia-ai-support-mcp/
[Superinterface]: https://superinterface.ai
[5ire]: https://github.com/nanbingxyz/5ire
[Apify MCP Tester]: https://apify.com/jiri.spilka/tester-mcp-client
[BeeAI Framework]: https://i-am-bee.github.io/beeai-framework
[fast-agent]: https://github.com/evalstate/fast-agent
[mcp-agent]: https://github.com/lastmile-ai/mcp-agent
[Mcp.el]: https://github.com/lizqwerscott/mcp.el
[Roo Code]: https://roocode.com
[Goose]: https://block.github.io/goose/docs/goose-architecture/#interoperability-with-extensions
[Witsy]: https://github.com/nbonamy/witsy
[Windsurf]: https://codeium.com/windsurf
[Daydreams]: https://github.com/daydreamsai/daydreams
[SpinAI]: https://spinai.dev
[OpenSumi]: https://github.com/opensumi/core
[oterm]: https://github.com/ggozad/oterm
[Resources]: https://modelcontextprotocol.io/docs/concepts/resources
[Prompts]: https://modelcontextprotocol.io/docs/concepts/prompts
[Tools]: https://modelcontextprotocol.io/docs/concepts/tools
@ -68,6 +81,13 @@ The Claude desktop application provides comprehensive support for MCP, enabling
> ⓘ Note: The Claude.ai web application does not currently support MCP. MCP features are only available in the desktop application.
### Claude Code
Claude Code is an interactive agentic coding tool from Anthropic that helps you code faster through natural language commands. It supports MCP integration for prompts and tools, and also functions as an MCP server to integrate with other clients.
**Key features:**
- Tool and prompt support for MCP servers
- Offers its own tools through an MCP server for integrating with other MCP clients
### 5ire
[5ire](https://github.com/nanbingxyz/5ire) is an open source cross-platform desktop AI assistant that supports tools through MCP servers.
@ -118,6 +138,15 @@ The Claude desktop application provides comprehensive support for MCP, enabling
**Key features:**
- Provides MCP tool support for Emacs.
### fast-agent
[fast-agent](https://github.com/evalstate/fast-agent) is a Python Agent framework, with simple declarative support for creating Agents and Workflows, with full multi-modal support for Anthropic and OpenAI models.
**Key features:**
- PDF and Image support, based on MCP Native types
- Interactive front-end to develop and diagnose Agent applications, including passthrough and playback simulators
- Built in support for "Building Effective Agents" workflows.
- Deploy Agents as MCP Servers
### Firebase Genkit
[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.
@ -162,6 +191,14 @@ Programmatically assemble prompts for LLMs using [GenAIScript](https://microsoft
- Implements every pattern defined in [Building Effective Agents](https://www.anthropic.com/research/building-effective-agents).
- Supports workflow pause/resume signals, such as waiting for human feedback.
### oterm
[oterm] is a terminal client for Ollama allowing users to create chats/agents.
**Key features:**
- Support for multiple fully customizable chat sessions with Ollama connected with tools.
- Support for MCP tools.
### Roo Code
[Roo Code](https://roocode.com) enables AI coding assistance via MCP.
@ -179,6 +216,15 @@ Programmatically assemble prompts for LLMs using [GenAIScript](https://microsoft
- Uses OpenCTX as an abstraction layer
- Future support planned for additional MCP features
### SpinAI
[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.
**Key features:**
- Built-in MCP compatibility for AI agents
- Open-source TypeScript framework
- Observable agent architecture
- Native support for MCP tools integration
### Superinterface
[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.
@ -235,6 +281,24 @@ Theia AI and Theia IDE's MCP integration provide users with flexibility, making
- Supports MCP tools in OpenSumi
- Supports built-in IDE MCP servers and custom MCP servers
### Daydreams
[Daydreams](https://github.com/daydreamsai/daydreams) is a generative agent framework for executing anything onchain
**Key features:**
- Supports MCP Servers in config
- Exposes MCP Client
### Apify MCP Tester
[Apify MCP Tester](https://github.com/apify/tester-mcp-client) is an open-source client that connects to any MCP server using Server-Sent Events (SSE).
It is a standalone Apify Actor designed for testing MCP servers over SSE, with support for Authorization headers.
It uses plain JavaScript (old-school style) and is hosted on Apify, allowing you to run it without any setup.
**Key features:**
- Connects to any MCP server via SSE.
- Works with the [Apify MCP Server](https://apify.com/apify/actors-mcp-server) to interact with one or more Apify [Actors](https://apify.com/store).
- Dynamically utilizes tools based on context and user queries (if supported by the server).
## 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.