How do I install MCP Client Node.js MCP Server?

Follow the setup instructions on the MCP Client Node.js GitHub repository, then add the server configuration to your AI client.

What category is MCP Client Node.js MCP Server?

MCP Client Node.js is categorized under Developer Tools. Browse more servers in these categories on MCPgee.

MCP Client Node.js

Name: Mcp Client Nodejs MCP Server
Author: ConardLi

v1.0.0•Developer Tools•stable

Node.js Client Implementation for Model Context Protocol (MCP)

mcp-client-nodejsmcpai-integration

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What is MCP Client Node.js?

MCP Client Node.js is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to node.js client implementation for model context protocol (mcp)

Node.js Client Implementation for Model Context Protocol (MCP)

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

Features

Node.js Client Implementation for Model Context Protocol (MC

Use Cases

Implement MCP client in Node.js to connect to any MCP server. Build JavaScript applications with Model Context Protocol support.

ConardLi

Maintainer

LicenseMIT

Languagetypescript

Versionv1.0.0

UpdatedApr 13, 2026

Statushealthy

Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

View Source Browse All Servers

Installation

Manual Installation

npx mcp-client-nodejs

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 MCP Client Node.js

MCP Client Node.js is a reference TypeScript implementation of an MCP client that connects to any Model Context Protocol–compliant server and exposes its tools to an OpenAI API-compatible language model, enabling developers to build and test MCP integrations in JavaScript without needing a GUI client like Claude Desktop. It features automatic tool discovery, tool-call execution and result handling, a structured JSON logging system in a local logs/ directory, and an interactive CLI for sending prompts and observing the full request/response cycle. It is primarily a development and learning tool for engineers building or debugging MCP servers.

Prerequisites

Node.js 17 or higher
An OpenAI API key (or a compatible endpoint such as a local Ollama or LiteLLM proxy)
An MCP server script to connect to (JavaScript .js or Python .py)
Git to clone the repository and npm to install dependencies

Clone and install

Clone the repository and install Node.js dependencies.

git clone https://github.com/ConardLi/mcp-client-nodejs.git
cd mcp-client-nodejs
npm install

Build the TypeScript source

Compile the TypeScript to JavaScript in the build/ directory.

npm run build

Create a .env file with your LLM credentials

Create a .env file in the project root with the required API configuration. BASE_URL defaults to the OpenAI endpoint but can be set to any compatible API.

OPENAI_API_KEY=your_openai_api_key
MODEL_NAME=gpt-4o
BASE_URL=https://api.openai.com/v1

Connect to an MCP server

Run the client and point it at an MCP server script. The client will auto-discover available tools and start an interactive prompt session.

node build/index.js /path/to/your/mcp-server.js

Or connect via a config file

If you have multiple servers, define them in an mcp-servers.json config file and reference a server by its ID.

node build/index.js my-server-id ./mcp-servers.json

Review logs for debugging

All API requests and tool calls are logged as structured JSON files in the logs/ directory. Review these to debug tool call sequences or response formatting issues.

ls logs/

MCP Client Node.js Examples

Client configuration (.env)

Minimal .env configuration for connecting the Node.js MCP client to OpenAI.

{
  "note": "This client uses a .env file, not a JSON config. Example .env contents below.",
  "OPENAI_API_KEY": "your_openai_api_key",
  "MODEL_NAME": "gpt-4o",
  "BASE_URL": "https://api.openai.com/v1"
}

Prompts to try

Example things to type in the interactive CLI session once connected to an MCP server.

- "List all the tools available from this MCP server."
- "Use the read_file tool to show me the contents of config.json."
- "Search for files matching *.ts in the src directory."
- "Run the database query tool to count rows in the users table."
- "What resources does this server expose?"

Troubleshooting MCP Client Node.js

Error: Cannot find module 'build/index.js'

Run `npm run build` to compile the TypeScript source. The build/ directory is not included in the repository and must be generated locally.

OpenAI API returns 401 Unauthorized

Verify OPENAI_API_KEY is set correctly in the .env file and that the file is in the project root directory. If using an alternative provider, ensure BASE_URL points to the correct endpoint.

MCP server fails to start or tools are not discovered

Check that the path to the server script is correct and executable. For Python servers, ensure the Python environment has the required dependencies installed. Check the logs/ directory for detailed error output.

Frequently Asked Questions about MCP Client Node.js

What is MCP Client Node.js?

MCP Client Node.js is a Model Context Protocol (MCP) server that node.js client implementation for model context protocol (mcp) It connects AI assistants to external tools and data sources through a standardized interface.

How do I install MCP Client Node.js?

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

Which AI clients work with MCP Client Node.js?

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

Is MCP Client Node.js free to use?

Yes, MCP Client Node.js is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

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Set Up MCP Client Node.js in Your Editor

Choose your AI client for step-by-step setup instructions.

🖥️

Claude Desktop

macOS & Windows app

⌨️

Claude Code

CLI & terminal

📝

Cursor

AI-first code editor

💻

VS Code

GitHub Copilot MCP

🏄

Windsurf

Codeium AI editor

🔌

Cline

VS Code extension

Quick Config Preview

{
  "mcpServers": {
    "mcp-client-nodejs": {
      "command": "npx",
      "args": ["-y", "mcp-client-nodejs"]
    }
  }
}

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

Read the full setup guide →

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