EEChat MCP Server

eechat is a locally‑hosted AI chat platform that brings the power of advanced language models to developers and privacy‑conscious users without relying on cloud services. By running entirely on the user’s machine, it eliminates data‑leak risks and removes the need for a persistent internet connection once the initial model weights are downloaded. This makes eechat ideal for sensitive projects, offline environments, or any scenario where data sovereignty is paramount.

At the heart of eechat lies its Model Context Protocol (MCP) extension. MCP transforms a simple chat client into an extensible AI ecosystem: developers can discover, install, and manage third‑party tools—ranging from code linters to data‑visualization libraries—through a unified web interface. The MCP dashboard provides instant control over tool lifecycles (install, start, stop, remove) without touching the command line, dramatically lowering the barrier to entry for non‑technical users. Visual configuration forms and automatic README parsing let newcomers add new tools with a single click, while an embedded JSON editor gives power users granular control for batch updates or advanced customizations.

The platform’s runtime environment automatically detects and downloads the necessary runtimes (such as bun for Node.js or uv for Python) on first use, ensuring that any installed tool can run immediately without manual dependency resolution. MCP also supports hot‑swapping, allowing tools to be added or upgraded on the fly and even run multiple instances in parallel. In the chat window, tools are invoked directly by the assistant, enabling seamless collaboration between natural language understanding and specialized functionality—think of a model that can execute code, query databases, or generate visual reports all within the same conversation thread.

For developers building AI‑powered applications, eechat offers a practical workflow: start with a local model, extend capabilities via MCP tools, and integrate the whole stack into existing IDEs or custom interfaces. Its compatibility with popular desktop clients such as Claude Desktop, Cursor, and Cline means that teams can adopt eechat without rewriting tooling. The platform’s robust session management, Markdown rendering (including tables and math), and smart code highlighting further enhance the user experience, making it suitable for everything from rapid prototyping to production‑grade AI services.