Copilot Kit has recently introduced an exciting new feature - the MCP (Model Context Protocol) client-side tooling. This powerful addition enables seamless integration between your application and external tools and services, leveraging the open standard developed by Anthropic.

With the MCP client-side tooling, your application's AI can now communicate directly with MCP servers, stream updates, and take real-time actions, all while maintaining live context. This integration allows for a more streamlined and efficient workflow, where your AI-powered application can seamlessly interact with various tools and services.

To get started, you can simply paste a single command to add an MCP client to your application, allowing you to chat with any MCP server and utilize it as a tool within your app. This makes it incredibly easy to connect your application to external tools and services, such as project management platforms, social media scheduling tools, and more.

The MCP client-side tooling provided by Copilot Kit is a game-changer, as it eliminates the need for a standard MCP client. By leveraging this framework, you can quickly and easily integrate your application with a wide range of MCP-compatible tools and services, empowering your AI-powered workflows and enhancing the overall user experience.

Integrating MCP (Model Context Protocol) servers into your application has never been easier, thanks to the latest update from Copilot Kit. This open-source framework provides a seamless way to connect your application to external tools and services using the MCP standard.

With Copilot Kit, you can quickly set up an MCP client within your React application. Simply follow the installation process, which includes creating a new Next.js project and running a single command to add the MCP integration. Once set up, you can start interacting with various MCP servers, such as the Gmail MCP, to streamline your workflows.

The power of Copilot Kit's MCP integration lies in its ability to enable secure two-way communication between your AI and your application's data or tools. This means your AI can now talk to MCP servers, stream updates, and take real-time action, all while maintaining live context. This integration can be particularly useful for tasks like sending blog post lists to project management tools or creating tweet drafts for social media campaigns.

To further showcase the capabilities of Copilot Kit's MCP integration, the provided demo video demonstrates how to use the Copilot Kit MCP client with multiple LangChain or LangGraph agents. This allows you to enhance the functionality of your AI-powered applications by seamlessly integrating various tools and services.

Overall, the integration of MCP servers into Copilot Kit's framework represents a significant step forward in building interactive, context-aware AI co-pilots that feel truly integrated into your application. Explore the possibilities and take advantage of this powerful feature to streamline your workflows and unlock new levels of productivity.

Copilot Kit is an open-source framework that allows you to embed AI co-pilots into your application, providing real-time context and powerful genetic workflows. With the recent introduction of an MCP (Model Context Protocol) client-side tooling, Copilot Kit now offers an easy way to connect your application to external tools and services using the MCP standard.

MCP is an open standard developed by Anthropic that enables secure two-way communication between your AI and your application's data or tools. This integration allows your app's AI to talk to MCP servers, stream updates, and take real-time action with live context.

To get started with Copilot Kit's MCP integration, you can follow these steps:

1. Select the MCP server you want to work with, such as the Gmail MCP server.
2. Use the copilot-cli tool to deploy the MCP server within a Next.js application.
3. Integrate the MCP server into your React app by running the provided command.
4. Start your app and enter your OpenAI API key to get the Copilot framework up and running.

Once set up, you can leverage the power of Copilot Kit's MCP client to seamlessly integrate your AI with various tools and services. For example, you can use the MCP client to send tasks to a project management tool, schedule social media posts, or even solve code issues with a code interpreter MCP server.

The flexibility of Copilot Kit's MCP integration allows you to enhance the capabilities of your AI agents, such as those built with LangChain, LangGraph, or Crew AI. By providing a streamlined and extendable framework, Copilot Kit empowers you to build multi-modal co-pilots that can interact with a wide range of tools and services.

The introduction of the MCP (Model Context Protocol) client-side tooling in the Copilot Kit framework is a significant update that simplifies the integration of external tools and services into AI-powered applications. This open standard, developed by Anthropic, enables secure two-way communication between the AI and the application's data or tools, allowing the AI to take real-time action with live context.

The demo showcases how Copilot Kit can turn any React app into an MCP client, enabling seamless integration with various MCP servers. This allows developers to easily connect their applications to tools like project management, social media, and code interpretation, among others, and leverage the AI's capabilities to streamline workflows and enhance productivity.

The flexibility and extensibility of the Copilot Kit framework, combined with the power of MCP, provide developers with a robust solution for building multi-modal AI co-pilots that can interact with a wide range of tools and services. This integration simplifies the process of incorporating AI functionality into applications, making it more accessible and user-friendly.

Overall, the Copilot Kit's MCP client-side tooling represents a significant step forward in the integration of AI and application development, empowering developers to create more intelligent and contextually-aware applications that can seamlessly interact with various tools and services.