Unichat MCP Server in TypeScript

Name: Unichat MCP Server in TypeScript
Author: amidabuddha

@amidabuddha

Repository

About Unichat MCP Server in TypeScript

No overview available yet

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "unichat-ts-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "unichat-ts-mcp-server",
        "--client",
        "claude"
      ]
    }
  }
}

Tools

Send a request to unichat

Overview

What is Unichat MCP Server in TypeScript?

Unichat MCP Server in TypeScript is an MCP server that sends chat requests to AI vendors—OpenAI, MistralAI, Anthropic, xAI, Google AI, and DeepSeek—via a single tool or predefined prompts. It requires a vendor-specific API key and is intended for developers using the MCP protocol.

How to use Unichat MCP Server in TypeScript?

Install automatically via Smithery (npx @smithery/cli install unichat-ts-mcp-server --client claude) or manually by adding the server configuration to Claude Desktop’s JSON file. Set UNICHAT_MODEL and UNICHAT_API_KEY environment variables. Run locally with node build/index.js or published with npx -y unichat-ts-mcp-server. Use --sse for SSE transport (default is STDIO). For remote SSE, set MCP_ALLOWED_HOSTS to a comma-separated list of allowed hostnames.

Key features of Unichat MCP Server in TypeScript

One tool: unichat for sending chat requests
Four predefined prompts: code review, document code, explain code, code rework
Supports STDIO and SSE transport mechanisms
Works with multiple AI vendors (OpenAI, MistralAI, Anthropic, xAI, Google AI, DeepSeek)
Available as an npm package and via Smithery

Use cases of Unichat MCP Server in TypeScript

Review code for best practices and potential issues
Generate code documentation including docstrings and comments
Explain code functionality in detail
Apply requested changes to existing code

FAQ from Unichat MCP Server in TypeScript

Which AI vendors are supported?

OpenAI, MistralAI, Anthropic, xAI, Google AI, and DeepSeek are supported. You must provide the corresponding vendor API key.

How do I choose the model to use?

Set the UNICHAT_MODEL environment variable to your preferred model name (e.g., gpt-5.4-mini). A full list of supported model names is available in the models.ts file.

What transport modes are available?

The server supports both STDIO (default) and SSE. To run in SSE mode, add the --sse argument when starting the server. SSE transport validates the Host header against localhost, 127.0.0.1, and [::1] by default; for remote deployments, set MCP_ALLOWED_HOSTS.

Where is the Claude Desktop configuration file?

On macOS: ~/Library/Application Support/Claude/claude_desktop_config.json. On Windows: %APPDATA%/Claude/claude_desktop_config.json.

What dependencies are required?

Node.js and npm are required. Install dependencies with npm install, then build with npm run build. For development, use npm run watch for auto-rebuild.

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