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.
Feature support matrix
Client | Resources | Prompts | Tools | Sampling | Roots | Notes |
---|---|---|---|---|---|---|
5ire | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools. |
AgentAI | ❌ | ❌ | ✅ | ❌ | ❌ | Agent Library written in Rust with tools support |
AgenticFlow | ✅ | ✅ | ✅ | ❌ | ❌ | Supports tools, prompts, and resources for no-code AI agents and multi-agent workflows. |
Amazon Q CLI | ❌ | ✅ | ✅ | ❌ | ❌ | Supports prompts and tools. |
Apify MCP Tester | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools |
BeeAI Framework | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools in agentic workflows. |
BoltAI | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools. |
Claude.ai | ✅ | ✅ | ✅ | ❌ | ❌ | Supports tools, prompts, and resources for remote MCP servers. |
Claude Code | ❌ | ✅ | ✅ | ❌ | ❌ | Supports prompts and tools |
Claude Desktop App | ✅ | ✅ | ✅ | ❌ | ❌ | Supports tools, prompts, and resources for local and remote MCP servers. |
Cline | ✅ | ❌ | ✅ | ❌ | ❌ | Supports tools and resources. |
Continue | ✅ | ✅ | ✅ | ❌ | ❌ | Supports tools, prompts, and resources. |
Copilot-MCP | ✅ | ❌ | ✅ | ❌ | ❌ | Supports tools and resources. |
Cursor | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools. |
Daydreams Agents | ✅ | ✅ | ✅ | ❌ | ❌ | Support for drop in Servers to Daydreams agents |
Emacs Mcp | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools in Emacs. |
fast-agent | ✅ | ✅ | ✅ | ✅ | ✅ | Full multimodal MCP support, with end-to-end tests |
FLUJO | ❌ | ❌ | ✅ | ❌ | ❌ | Support for resources, Prompts and Roots are coming soon |
Genkit | ⚠️ | ✅ | ✅ | ❌ | ❌ | Supports resource list and lookup through tools. |
Glama | ✅ | ✅ | ✅ | ❌ | ❌ | Supports tools. |
GenAIScript | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools. |
Goose | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools. |
gptme | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools. |
HyperAgent | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools. |
Klavis AI Slack/Discord/Web | ✅ | ❌ | ✅ | ❌ | ❌ | Supports tools and resources. |
LibreChat | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools for Agents |
Lutra | ✅ | ✅ | ✅ | ❌ | ❌ | Supports any MCP server for reusable playbook creation. |
mcp-agent | ❌ | ❌ | ✅ | ⚠️ | ❌ | Supports tools, server connection management, and agent workflows. |
mcp-use | ✅ | ❌ | ✅ | ❌ | ❌ | Support tools, resources, stdio & http connection, local llms-agents. |
MCPHub | ✅ | ✅ | ✅ | ❌ | ❌ | Supports tools, resources, and prompts in Neovim |
MCPOmni-Connect | ✅ | ✅ | ✅ | ✅ | ❌ | Supports tools with agentic mode, ReAct, and orchestrator capabilities. |
Microsoft Copilot Studio | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools |
MindPal | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools for no-code AI agents and multi-agent workflows. |
Msty Studio | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools |
OpenSumi | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools in OpenSumi |
oterm | ❌ | ✅ | ✅ | ✅ | ❌ | Supports tools, prompts and sampling for Ollama. |
Postman | ✅ | ✅ | ✅ | ❌ | ❌ | Supports tools, resources, prompts, and sampling |
Roo Code | ✅ | ❌ | ✅ | ❌ | ❌ | Supports tools and resources. |
Slack MCP Client | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools and multiple servers. |
Sourcegraph Cody | ✅ | ❌ | ❌ | ❌ | ❌ | Supports resources through OpenCTX |
SpinAI | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools for Typescript AI Agents |
Superinterface | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools |
TheiaAI/TheiaIDE | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools for Agents in Theia AI and the AI-powered Theia IDE |
Tome | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools, manages MCP servers. |
TypingMind App | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools at app-level (appear as plugins) or when assigned to Agents |
VS Code GitHub Copilot | ❌ | ❌ | ✅ | ❌ | ✅ | Supports dynamic tool/roots discovery, secure secret configuration, and explicit tool prompting |
Windsurf Editor | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools with AI Flow for collaborative development. |
Witsy | ❌ | ❌ | ✅ | ❌ | ❌ | Supports tools in Witsy. |
Zed | ❌ | ✅ | ❌ | ❌ | ❌ | Prompts appear as slash commands |
Client details
5ire
5ire is an open source cross-platform desktop AI assistant that supports tools through MCP servers.
Key features:
- Built-in MCP servers can be quickly enabled and disabled.
- Users can add more servers by modifying the configuration file.
- It is open-source and user-friendly, suitable for beginners.
- Future support for MCP will be continuously improved.
AgentAI
AgentAI is a Rust library designed to simplify the creation of AI agents. The library includes seamless integration with MCP Servers.
Example of MCP Server integration
Key features:
- Multi-LLM – We support most LLM APIs (OpenAI, Anthropic, Gemini, Ollama, and all OpenAI API Compatible).
- Built-in support for MCP Servers.
- Create agentic flows in a type- and memory-safe language like Rust.
AgenticFlow
AgenticFlow is a no-code AI platform that helps you build agents that handle sales, marketing, and creative tasks around the clock. Connect 2,500+ APIs and 10,000+ tools securely via MCP.
Key features:
- No-code AI agent creation and workflow building.
- Access a vast library of 10,000+ tools and 2,500+ APIs through MCP.
- Simple 3-step process to connect MCP servers.
- Securely manage connections and revoke access anytime.
Learn more:
Amazon Q CLI
Amazon Q CLI is an open-source, agentic coding assistant for terminals.
Key features:
- Full support for MCP servers.
- Edit prompts using your preferred text editor.
- Access saved prompts instantly with
@
. - Control and organize AWS resources directly from your terminal.
- Tools, profiles, context management, auto-compact, and so much more!
Get Started
Apify MCP Tester
Apify MCP Tester 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 to interact with one or more Apify Actors.
- Dynamically utilizes tools based on context and user queries (if supported by the server).
BeeAI Framework
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.
Key features:
- Seamlessly incorporate MCP tools into agentic workflows.
- Quickly instantiate framework-native tools from connected MCP client(s).
- Planned future support for agentic MCP capabilities.
Learn more:
BoltAI
BoltAI is a native, all-in-one AI chat client with MCP support. BoltAI supports multiple AI providers (OpenAI, Anthropic, Google AI…), including local AI models (via Ollama, LM Studio or LMX)
Key features:
- MCP Tool integrations: once configured, user can enable individual MCP server in each chat
- MCP quick setup: import configuration from Claude Desktop app or Cursor editor
- Invoke MCP tools inside any app with AI Command feature
- Integrate with remote MCP servers in the mobile app
Learn more:
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
Claude Desktop App
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.
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.
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/MCP
directory - Displays configured MCP servers along with their tools, resources, and any error logs
Continue
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
Copilot-MCP
Copilot-MCP enables AI coding assistance via MCP.
Key features:
- Support for MCP tools and resources
- Integration with development workflows
- Extensible AI capabilities
Cursor
Cursor is an AI code editor.
Key Features:
- Support for MCP tools in Cursor Composer
- Support for both STDIO and SSE
Daydreams
Daydreams is a generative agent framework for executing anything onchain
Key features:
- Supports MCP Servers in config
- Exposes MCP Client
Emacs Mcp
Emacs Mcp 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 and llm, adhering to Emacs’ standard tool invocation format. This integration enhances the functionality of AI tools within the Emacs ecosystem.
Key features:
- Provides MCP tool support for Emacs.
fast-agent
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
FLUJO
Think n8n + ChatGPT. FLUJO is an desktop application that integrates with MCP to provide a workflow-builder interface for AI interactions. Built with Next.js and React, it supports both online and offline (ollama) models, it manages API Keys and environment variables centrally and can install MCP Servers from GitHub. FLUJO has an ChatCompletions endpoint and flows can be executed from other AI applications like Cline, Roo or Claude.
Key features:
- Environment & API Key Management
- Model Management
- MCP Server Integration
- Workflow Orchestration
- Chat Interface
Genkit
Genkit is a cross-language 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
Glama
Glama is a comprehensive AI workspace and integration platform that offers a unified interface to leading LLM providers, including OpenAI, Anthropic, and others. It supports the Model Context Protocol (MCP) ecosystem, enabling developers and enterprises to easily discover, build, and manage MCP servers.
Key features:
- Integrated MCP Server Directory
- Integrated MCP Tool Directory
- Host MCP servers and access them via the Chat or SSE endpoints – Ability to chat with multiple LLMs and MCP servers at once
- Upload and analyze local files and data
- Full-text search across all your chats and data
GenAIScript
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
Goose
Goose is an open source AI agent that supercharges your software development by automating coding tasks.
Key features:
- Expose MCP functionality to Goose through tools.
- MCPs can be installed directly via the extensions directory, CLI, or UI.
- Goose allows you to extend its functionality by building your own MCP servers.
- Includes built-in tools for development, web scraping, automation, memory, and integrations with JetBrains and Google Drive.
gptme
gptme is a open-source terminal-based personal AI assistant/agent, designed to assist with programming tasks and general knowledge work.
Key features:
- CLI-first design with a focus on simplicity and ease of use
- Rich set of built-in tools for shell commands, Python execution, file operations, and web browsing
- Local-first approach with support for multiple LLM providers
- Open-source, built to be extensible and easy to modify
HyperAgent
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.
Key features
- AI Commands: Simple APIs like page.ai(), page.extract() and executeTask() for any AI automation
- Fallback to Regular Playwright: Use regular Playwright when AI isn’t needed
- Stealth Mode – Avoid detection with built-in anti-bot patches
- Cloud Ready – Instantly scale to hundreds of sessions via Hyperbrowser
- MCP Client – Connect to tools like Composio for full workflows (e.g. writing web data to Google Sheets)
Klavis AI Slack/Discord/Web
Klavis AI is an Open-Source Infra to Use, Build & Scale MCPs with ease.
Key features:
- Slack/Discord/Web MCP clients for using MCPs directly
- Simple web UI dashboard for easy MCP configuration
- Direct OAuth integration with Slack & Discord Clients and MCP Servers for secure user authentication
- SSE transport support
- Open-source infrastructure (GitHub repository)
Learn more:
LibreChat
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
Lutra
Lutra is an AI agent that transforms conversations into actionable, automated workflows.
Key features:
- Easy MCP Integration: Connecting Lutra to MCP servers is as simple as providing the server URL; Lutra handles the rest behind the scenes.
- Chat to Take Action: Lutra understands your conversational context and goals, automatically integrating with your existing apps to perform tasks.
- Reusable Playbooks: After completing a task, save the steps as reusable, automated workflows—simplifying repeatable processes and reducing manual effort.
- Shareable Automations: Easily share your saved playbooks with teammates to standardize best practices and accelerate collaborative workflows.
Learn more:
mcp-agent
mcp-agent is a simple, composable framework to build agents using Model Context Protocol.
Key features:
- Automatic connection management of MCP servers.
- Expose tools from multiple servers to an LLM.
- Implements every pattern defined in Building Effective Agents.
- Supports workflow pause/resume signals, such as waiting for human feedback.
mcp-use
mcp-use is an open source python library to very easily connect any LLM to any MCP server both locally and remotely.
Key features:
- Very simple interface to connect any LLM to any MCP.
- Support the creation of custom agents, workflows.
- Supports connection to multiple MCP servers simultaneously.
- Supports all langchain supported models, also locally.
- Offers efficient tool orchestration and search functionalities.
MCPHub
MCPHub is a powerful Neovim plugin that integrates MCP (Model Context Protocol) servers into your workflow.
Key features
- Install, configure and manage MCP servers with an intuitive UI.
- Built-in Neovim MCP server with support for file operations (read, write, search, replace), command execution, terminal integration, LSP integration, buffers, and diagnostics.
- Create Lua-based MCP servers directly in Neovim.
- Inegrates with popular Neovim chat plugins Avante.nvim and CodeCompanion.nvim
MCPOmni-Connect
MCPOmni-Connect is a versatile command-line interface (CLI) client designed to connect to various Model Context Protocol (MCP) servers using both stdio and SSE transport.
Key features:
- Support for resources, prompts, tools, and sampling
- Agentic mode with ReAct and orchestrator capabilities
- Seamless integration with OpenAI models and other LLMs
- Dynamic tool and resource management across multiple servers
- Support for both stdio and SSE transport protocols
- Comprehensive tool orchestration and resource analysis capabilities
Microsoft Copilot Studio
Microsoft Copilot Studio is a robust SaaS platform designed for building custom AI-driven applications and intelligent agents, empowering developers to create, deploy, and manage sophisticated AI solutions.
Key features:
- Support for MCP tools
- Extend Copilot Studio agents with MCP servers
- Leveraging Microsoft unified, governed, and secure API management solutions
MindPal
MindPal is a no-code platform for building and running AI agents and multi-agent workflows for business processes.
Key features:
- Build custom AI agents with no-code
- Connect any SSE MCP server to extend agent tools
- Create multi-agent workflows for complex business processes
- User-friendly for both technical and non-technical professionals
- Ongoing development with continuous improvement of MCP support
Learn more:
Msty Studio
Msty Studio is a privacy-first AI productivity platform that seamlessly integrates local and online language models (LLMs) into customizable workflows. Designed for both technical and non-technical users, Msty Studio offers a suite of tools to enhance AI interactions, automate tasks, and maintain full control over data and model behavior.
Key features:
- Toolbox & Toolsets: Connect AI models to local tools and scripts using MCP-compliant configurations. Group tools into Toolsets to enable dynamic, multi-step workflows within conversations.
- Turnstiles: Create automated, multi-step AI interactions, allowing for complex data processing and decision-making flows.
- Real-Time Data Integration: Enhance AI responses with up-to-date information by integrating real-time web search capabilities.
- Split Chats & Branching: Engage in parallel conversations with multiple models simultaneously, enabling comparative analysis and diverse perspectives.
Learn more:
OpenSumi
OpenSumi is a framework helps you quickly build AI Native IDE products.
Key features:
- Supports MCP tools in OpenSumi
- Supports built-in IDE MCP servers and custom MCP servers
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 enables AI coding assistance via MCP.
Key features:
- Support for MCP tools and resources
- Integration with development workflows
- Extensible AI capabilities
Postman
Postman is the most popular API client and now supports MCP server testing and debugging.
Key features:
- Full support of all major MCP features (tools, prompts, resources, and subscriptions)
- Fast, seamless UI for debugging MCP capabilities
- MCP config integration (Claude, VSCode, etc.) for fast first-time experience in testing MCPs
- Integration with history, varibles, and collections for re-use and collaboration
Slack MCP Client
Slack MCP Client acts as a bridge between Slack and Model Context Protocol (MCP) servers. Using Slack as the interface, it enables large language models (LLMs) to connect and interact with various MCP servers through standardized MCP tools.
Key features:
- Supports Popular LLM Providers: Integrates seamlessly with leading large language model providers such as OpenAI, Anthropic, and Ollama, allowing users to leverage advanced conversational AI and orchestration capabilities within Slack.
- Dynamic and Secure Integration: Supports dynamic registration of MCP tools, works in both channels and direct messages and manages credentials securely via environment variables or Kubernetes secrets.
- Easy Deployment and Extensibility: Offers official Docker images, a Helm chart for Kubernetes, and Docker Compose for local development, making it simple to deploy, configure, and extend with additional MCP servers or tools.
Sourcegraph Cody
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
SpinAI
SpinAI 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 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)
TheiaAI/TheiaIDE
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:
Tome
Tome is an open source cross-platform desktop app designed for working with local LLMs and MCP servers. It is designed to be beginner friendly and abstract away the nitty gritty of configuration for people getting started with MCP.
Key features:
- MCP servers are managed by Tome so there is no need to install uv or npm or configure JSON
- Users can quickly add or remove MCP servers via UI
- Any tool-supported local model on Ollama is compatible
TypingMind App
TypingMind is an advanced frontend for LLMs with MCP support. TypingMind supports all popular LLM providers like OpenAI, Gemini, Claude, and users can use with their own API keys.
Key features:
- MCP Tool Integration: Once MCP is configured, MCP tools will show up as plugins that can be enabled/disabled easily via the main app interface.
- Assign MCP Tools to Agents: TypingMind allows users to create AI agents that have a set of MCP servers assigned.
- Remote MCP servers: Allows users to customize where to run the MCP servers via its MCP Connector configuration, allowing the use of MCP tools across multiple devices (laptop, mobile devices, etc.) or control MCP servers from a remote private server.
Learn more:
VS Code GitHub Copilot
VS Code integrates MCP with GitHub Copilot through agent mode, allowing direct interaction with MCP-provided tools within your agentic coding workflow. Configure servers in Claude Desktop, workspace or user settings, with guided MCP installation and secure handling of keys in input variables to avoid leaking hard-coded keys.
Key features:
- Support for stdio and server-sent events (SSE) transport
- Per-session selection of tools per agent session for optimal performance
- Easy server debugging with restart commands and output logging
- Tool calls with editable inputs and always-allow toggle
- Integration with existing VS Code extension system to register MCP servers from extensions
Windsurf Editor
Windsurf Editor 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.
Key features:
- Revolutionary AI Flow paradigm for human-AI collaboration
- Intelligent code generation and understanding
- Rich development tools with multi-model support
Witsy
Witsy is an AI desktop assistant, supoorting Anthropic models and MCP servers as LLM tools.
Key features:
- Multiple MCP servers support
- Tool integration for executing commands and scripts
- Local server connections for enhanced privacy and security
- Easy-install from Smithery.ai
- Open-source, available for macOS, Windows and Linux
Zed
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
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.
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
Updates and corrections
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.