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Unichat MCP Server in TypeScript

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Overview

Unichat MCP Server is a TypeScript-based server that allows users to send requests to various AI models using the MCP protocol.

To use the server, install it via Smithery or manually, configure it with your vendor API key, and run it using the provided commands.

  • Supports multiple AI vendors including OpenAI and Google AI. - Implements tools for code review, documentation generation, and code explanation. - Offers both STDIO and SSE transport mechanisms.
  1. Sending requests to AI models for code analysis.
  2. Generating documentation for existing codebases.
  3. Explaining complex code snippets for better understanding.

Add to your AI client

Use these steps to connect Unichat MCP Server in TypeScript in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "amidabuddha-unichat-ts-mcp-server-mcp-mirror": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-amidabuddha-unichat-ts-mcp-server-mcp-mirror"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "amidabuddha-unichat-ts-mcp-server-mcp-mirror": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-amidabuddha-unichat-ts-mcp-server-mcp-mirror"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "amidabuddha-unichat-ts-mcp-server-mcp-mirror": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-amidabuddha-unichat-ts-mcp-server-mcp-mirror"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "amidabuddha-unichat-ts-mcp-server-mcp-mirror": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-amidabuddha-unichat-ts-mcp-server-mcp-mirror"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "amidabuddha-unichat-ts-mcp-server-mcp-mirror": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-amidabuddha-unichat-ts-mcp-server-mcp-mirror"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "amidabuddha-unichat-ts-mcp-server-mcp-mirror": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-amidabuddha-unichat-ts-mcp-server-mcp-mirror"
      ]
    }
  }
}

FAQ

What AI models can I use with Unichat MCP Server?

You can use models from OpenAI, MistralAI, Anthropic, xAI, and Google AI.

Is there a way to debug the server?

Yes! You can use the MCP Inspector for debugging.

How do I install the server?

You can install it automatically via Smithery or manually by adding the server config to your application support directory.

Developer tools