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EEChat

v1.0.0•Coding Agents•stable

🚀 Powerful Local AI Chat Application - Mcp, Secure, Efficient, Personalized 本地化部署的大模型客户端

deepseekmcpmcp-client
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What is EEChat?

EEChat is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 🚀 powerful local ai chat application - mcp, secure, efficient, personalized 本地化部署的大模型客户端

🚀 Powerful Local AI Chat Application - Mcp, Secure, Efficient, Personalized 本地化部署的大模型客户端

This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • 🚀 Powerful Local AI Chat Application - Mcp, Secure, Efficien

Use Cases

Run local AI chat with MCP support (DeepSeek, etc.).
Deploy secure, personalized AI applications with local model inference.
Lucassssss

Maintainer

LicenseNOASSERTION
Languagejavascript
Versionv1.0.0
UpdatedMay 6, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux
View SourceBrowse All Servers

Installation

Manual Installation

npx eechat

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use EEChat

EEChat is a locally-deployed AI chat application that combines a polished desktop interface with built-in MCP (Model Context Protocol) support, enabling users to connect local or remote AI models — including DeepSeek, OpenAI-compatible APIs, and Anthropic — with MCP-based tools in a single unified client. It features a visual MCP tool manager, local data storage for privacy, and support for automatic runtime detection of Node.js and Python environments for seamless tool installation. EEChat is available for Windows, macOS, and Linux as a prebuilt desktop app.

Prerequisites

  • Windows 10/11, macOS 10.15+, or Linux (Ubuntu 18.04+ / Debian 10+)
  • An API key for your chosen AI provider (DeepSeek, OpenAI-compatible, or Anthropic)
  • Node.js (for MCP tools that run as Node.js servers) or Python with uv (for Python-based MCP tools)
  • Internet access for downloading AI responses (model inference itself may be local or remote depending on your setup)
1

Download and install EEChat

Download the appropriate prebuilt package for your operating system from the EEChat GitHub releases page at https://github.com/Lucassssss/eechat/releases. Install it like any desktop application.

2

Launch EEChat and configure your AI provider

Open EEChat and navigate to the settings or model configuration screen. Add your API key for your chosen provider (DeepSeek, OpenAI-compatible endpoint, or Anthropic) and select a model. You can tune temperature and max output tokens from the UI.

3

Open the MCP Tool Manager

Navigate to the MCP tools section in EEChat. The built-in visual manager allows you to browse, install, start, stop, and remove MCP servers without editing config files manually.

4

Add an MCP server via the JSON configuration editor

For advanced setup, EEChat includes a built-in professional JSON configuration editor. Add your desired MCP server configurations directly in the editor.

{
  "mcpServers": {
    "your-tool-name": {
      "command": "npx",
      "args": ["-y", "your-mcp-package"],
      "env": {
        "API_KEY": "your_api_key"
      }
    }
  }
}
5

Start chatting with AI and MCP tools

Begin a new chat session in EEChat. MCP tools are available directly within the chat interface and can be invoked by the AI model when needed to answer your questions or complete tasks.

EEChat Examples

Client configuration (MCP tools within EEChat)

Example MCP server configuration you can add through EEChat's built-in JSON editor to enable additional tools.

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/your/workspace"],
      "env": {}
    }
  }
}

Prompts to try

Example tasks you can accomplish with EEChat and its integrated MCP tools.

- "Explain this code file and suggest improvements" (with filesystem MCP tool)
- "Summarize this PDF document and create a mind map"
- "Translate the following technical documentation from Chinese to English"
- "Generate unit tests for the function I just pasted"
- "Help me debug this Python script step by step"

Troubleshooting EEChat

MCP tool fails to start — runtime not found error

EEChat auto-detects Node.js (via bun) and Python (via uv) runtimes. Ensure the appropriate runtime is installed and accessible on your system PATH. Restart EEChat after installing runtimes.

AI model returns errors or is unavailable

Check that your API key is correctly entered in EEChat's model settings. Verify the API endpoint URL is correct for your provider, especially if using an OpenAI-compatible API with a custom base URL.

Building from source fails with npm errors

If the prebuilt package doesn't work for your platform, clone the repo and run 'npm install' followed by 'npm run dev'. Ensure you are using a supported Node.js version (18+) and that all native dependencies can compile on your OS.

Frequently Asked Questions about EEChat

What is EEChat?

EEChat is a Model Context Protocol (MCP) server that 🚀 powerful local ai chat application - mcp, secure, efficient, personalized 本地化部署的大模型客户端 It connects AI assistants to external tools and data sources through a standardized interface.

How do I install EEChat?

Follow the installation instructions on the EEChat GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with EEChat?

EEChat works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is EEChat free to use?

Yes, EEChat is open source and available under the NOASSERTION license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "eechat": { "command": "npx", "args": ["-y", "eechat"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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