General-purpose chat client for your MCP server
Chat is a general-purpose AI chat interface powered by MCP. Connect any MCP server — delivery service, handyman booking, task management, or any domain — and interact with it through a natural language conversation. Built with Next.js App Router, AI SDK v6, and Prisma v7. It supports MCP tool integration, deployment customization, streaming AI responses, image attachments, AI image output, location sharing, persistent conversation history, authentication (email/password, Google OAuth), locale detection, an i18n system, link detection, a weekly message limit, and background jobs.
For small business owners, Chat enables the creation of an instant customer support interface powered by their existing backend logic. Example: A freelance consultant can expose their booking API through Chat, allowing clients to schedule appointments directly via a chat interaction without needing a separate booking website.
For software development teams, Chat allows for the rapid deployment of internal tools and APIs as a chat service. Example: A team can connect their internal data querying service to Chat, enabling non-technical team members to retrieve specific project metrics by asking questions in natural language, rather than writing code or navigating complex dashboards.
For early-stage startup founders, Chat facilitates the fast launch of Minimum Viable Products (MVPs) by transforming backend workflows into interactive chat experiences. Example: A startup offering personalized financial advice can use Chat to connect their AI recommendation engine, allowing users to get tailored suggestions by simply chatting about their financial goals.
For business intelligence analysts, Chat provides a way to offer self-service data access by connecting to backend data services. Example: An analyst can expose a database of sales figures through Chat, allowing sales representatives to ask for specific product performance data by region and time period, receiving instant, structured answers.
Chat itself is an open-source MCP client and is free to use. However, you may incur costs depending on the AI models and MCP service servers you choose to integrate with, as these often have their own API pricing structures.
The Chat client is free and open-source. Any costs associated with using Chat would be related to the underlying AI models or MCP service servers you connect to, which have their own independent pricing.
Chat is an MCP client that allows you to connect to your own MCP service server. It is designed to be deployed using various methods, including Docker, and can be run locally. Specific platform support depends on your deployment choice and the compatibility of your MCP service server.
As an open-source MCP client, Chat's security and GDPR compliance depend heavily on how you deploy and configure it, as well as the security practices of the MCP service servers and AI models you integrate with. It's crucial to ensure your backend logic and data handling meet these requirements.
Alternatives to Chat depend on your specific needs. LibreChat is another open-source AI conversation platform that supports multiple AI models and offers customization. Other alternatives might involve building custom frontends or using different chatbot development frameworks.
The provided information does not specify a dedicated mobile app for Chat. As an MCP client, it is typically deployed and accessed through web interfaces or integrated into existing applications.
Chat can be deployed using various methods, including Docker, and can be run locally. Detailed deployment instructions are usually available in the project's documentation, allowing you to set up your MCP service server and connect the Chat client.
We're still verifying the official pricing for Chat. In the meantime, the most up-to-date plans and prices are available directly on the publisher's website.
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