Unified MCP Client Library
[](https://www.npmjs.com/package/mcp-use)
[](https://www.npmjs.com/package/mcp-use)
[](https://github.com/zandko/mcp-use/blob/main/LICENSE)
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🌐 **MCP Client** is the open-source way to connect **any LLM to any MCP server** in TypeScript/Node.js, letting you build custom agents with tool access without closed-source dependencies.
💡 Let developers easily connect any LLM via LangChain.js to tools like web browsing, file operations, 3D modeling, and more.
---
## ✨ Key Features
| Feature | Description |
| ------------------------------- | -------------------------------------------------------------------------- |
| 🔄 **Ease of use** | Create an MCP-capable agent in just a few lines of TypeScript. |
| 🤖 **LLM Flexibility** | Works with any LangChain.js-supported LLM that supports tool calling. |
| 🌐 **HTTP Support** | Direct SSE/HTTP connection to MCP servers. |
| ⚙️ **Dynamic Server Selection** | Agents select the right MCP server from a pool on the fly. |
| 🧩 **Multi-Server Support** | Use multiple MCP servers in one agent. |
| 🛡️ **Tool Restrictions** | Restrict unsafe tools like filesystem or network. |
| 🔧 **Custom Agents** | Build your own agents with LangChain.js adapter or implement new adapters. |
---
## 🚀 Quick Start
### Requirements
- Node.js 22.0.0 or higher
- npm, yarn, or pnpm (examples use pnpm)
### Installation
```bash
# Install from npm
npm install mcp-use
# LangChain.js and your LLM provider (e.g., OpenAI)
npm install langchain @langchain/openai dotenv
```
Create a `.env`:
```ini
OPENAI_API_KEY=your_api_key
```
### Basic Usage
```ts
import { ChatOpenAI } from '@langchain/openai'
import { MCPAgent, MCPClient } from 'mcp-use'
import 'dotenv/config'
async function main() {
// 1. Configure MCP servers
const config = {
mcpServers: {
playwright: { command: 'npx', args: ['@playwright/mcp@latest'] }
}
}
const client = MCPClient.fromDict(config)
// 2. Create LLM
const llm = new ChatOpenAI({ modelName: 'gpt-4o' })
// 3. Instantiate agent
const agent = new MCPAgent({ llm, client, maxSteps: 20 })
// 4. Run query
const result = await agent.run('Find the best restaurant in Tokyo using Google Search')
console.log('Result:', result)
}
main().catch(console.error)
```
---
## 📂 Configuration File
You can store servers in a JSON file:
```json
{
"mcpServers": {
"playwright": {
"command": "npx",
"args": ["@playwright/mcp@latest"]
}
}
}
```
Load it:
```ts
import { MCPClient } from 'mcp-use'
const client = MCPClient.fromConfigFile('./mcp-config.json')
```
---
## 🔄 Multi-Server Example
```ts
const config = {
mcpServers: {
airbnb: { command: 'npx', args: ['@openbnb/mcp-server-airbnb'] },
playwright: { command: 'npx', args: ['@playwright/mcp@latest'] }
}
}
const client = MCPClient.fromDict(config)
const agent = new MCPAgent({ llm, client, useServerManager: true })
await agent.run('Search Airbnb in Barcelona, then Google restaurants nearby')
```
---
## 🔒 Tool Access Control
```ts
const agent = new MCPAgent({
llm,
client,
disallowedTools: ['file_system', 'network']
})
```
## 👥 Contributors
## 📜 License
MIT © [Zane](https://github.com/zandko)
