AgentBay + mcp-use: Complete MCP Integration

AgentBay is a MCP server that An MCP server for providing serverless cloud infrastructure for AI agents..

When integrated with mcp-use, you can:

• One-click environment session management with automatic scaling
• Web browser access and automation within cloud environments
• File management and manipulation in cloud environments

This guide provides step-by-step instructions to set up AgentBay in mcp-use, including configuration, examples, and troubleshooting.

What You'll Achieve

After completing this setup:

• AgentBay will be fully integrated and operational
• You can use AgentBay tools directly in mcp-use
• All AgentBay capabilities will be available for your workflows
• Access to 5 different tools

Prerequisites

Before starting, ensure you have:

• mcp-use installed and configured
• Compatible operating system (Python 3.8+, Node.js 16+, pip Installation, npm/yarn Installation)

Installation

Step 1: Install AgentBay

Configuration

Step 2: Configure mcp-use

1. Open mcp-use settings
2. Navigate to MCP server configuration
3. Add AgentBay server with appropriate settings
4. Save and restart if needed

Examples

Once configured, you can use AgentBay in mcp-use:

Open Browser Session

Launch browser and navigate to specific website

Ask mcp-use: "Open browser with wuying-agentbay and access wuying.aliyun.com"

Expected Result: Browser session started with navigation to specified URL and screen streaming enabled

Development Environment Setup

Create isolated development environment for coding project

Ask mcp-use: "Set up a Python development environment with required packages for data analysis"

Expected Result: Linux environment created with Python, pip, and data analysis libraries installed

File Processing Workflow

Upload, process, and download files using cloud resources

Ask mcp-use: "Upload my dataset.csv, run data processing script, and download the results"

Expected Result: File uploaded, processing completed in cloud environment, results available for download

Multi-Agent Deployment

Deploy multiple AI agents for parallel processing

Ask mcp-use: "Deploy 5 AI agents for parallel image processing tasks with load balancing"

Expected Result: Multiple agent instances deployed, work distributed, and results aggregated

Testing Your Setup

1. Launch mcp-use
2. Verify AgentBay is available in the tools list
3. Test basic AgentBay functionality

Troubleshooting

Common Issues

API Key Authentication Failed

Symptoms: Access denied errors, Invalid API key messages, 401 Unauthorized

Cause: Invalid or expired API key

Solution:

• Verify API key is correct and active in AgentBay Console
• Check API key permissions and quotas
• Regenerate API key if expired or compromised
• Ensure API key is properly URL-encoded in SSE endpoint

Concurrent Instance Limit Exceeded

Symptoms: Resource allocation errors, Instance creation failures

Cause: Public beta limit of 10 concurrent instances reached

Solution:

• Wait for existing instances to complete or terminate them
• Optimize workflows to use fewer concurrent instances
• Consider upgrading to production plan for higher limits
• Monitor instance usage and implement resource pooling

Environment Session Lost

Symptoms: Session disconnection, State not persisted, Data loss

Cause: Network connectivity issues or session timeout

Solution:

• Use EXTERNALID parameter for persistent sessions
• Implement session restoration mechanisms
• Save work frequently to persistent storage
• Check network stability and connection quality

Screen Streaming Performance Issues

Symptoms: Lag in browser streaming, Poor video quality, Connection drops

Cause: Network bandwidth limitations or high latency

Solution:

• Check internet connection speed and stability
• Use lower quality settings for better performance
• Choose nearest edge location for better latency
• Optimize browser usage for streaming performance

Connection Refused or Server Unreachable

Symptoms: ECONNREFUSED error, Connection timeout, Cannot reach server

Cause: MCP server not running or incorrect URL

Solution:

• Verify MCP server is running and accessible
• Check server URL is correct (protocol, host, port, path)
• Test server URL in browser or with curl to confirm it responds
• Ensure firewall allows connections to server port
• Verify CORS settings if accessing from browser

Import Errors or Module Not Found

Symptoms: ModuleNotFoundError: mcp_use, Cannot find module "mcp-use"

Cause: Package not installed or wrong environment

Solution:

• Verify installation: pip show mcp-use (Python) or npm list mcp-use (JS)
• Ensure using correct Python virtual environment or Node.js project
• Reinstall package: pip install --upgrade mcp-use or npm install mcp-use
• Check package.json or requirements.txt includes mcp-use

Tool Discovery Returns Empty List

Symptoms: list_tools() returns [], No tools available, Tools not found

Cause: MCP server not properly configured or not exposing tools

Solution:

• Verify MCP server is properly initialized and configured
• Check server logs to confirm tools are registered
• Test server directly with MCP inspector or test client
• Ensure server implements MCP protocol correctly
• Verify transport type (HTTP/SSE) matches server configuration

Tool Execution Fails or Returns Errors

Symptoms: Tool call throws exception, Invalid arguments error, Execution timeout

Cause: Incorrect arguments or server-side execution failure

Solution:

• Verify tool arguments match schema definition from list_tools()
• Check required arguments are provided with correct types
• Review server logs for detailed error messages
• Test tool with minimal valid arguments first
• Increase timeout if tool requires longer execution time

LangChain.js Integration Not Working

Symptoms: getLangChainTools() fails, Tools not recognized by agent, Type errors

Cause: Version mismatch or incorrect integration setup

Solution:

• Ensure LangChain.js version is compatible with mcp-use
• Verify TypeScript version meets requirements
• Check tool schema conversion is working correctly
• Use latest versions of both mcp-use and LangChain.js
• Review LangChain.js documentation for agent setup

Transport Type Errors (HTTP vs SSE)

Symptoms: SSE connection fails, HTTP polling not working, Event stream errors

Cause: Mismatch between client transport and server capabilities

Solution:

• Verify server supports the transport type you are using
• Try alternative transport: switch between "http" and "sse"
• Check server documentation for supported transport types
• For SSE, ensure server sends proper Content-Type: text/event-stream
• For HTTP, verify server accepts POST requests with JSON payload

AgentBay not appearing in mcp-use

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

• Verify configuration syntax
• Check AgentBay installation
• Restart mcp-use
• Check logs for error messages

Next Steps

Now that AgentBay is integrated with mcp-use:

• Explore all AgentBay capabilities through mcp-use
• Check out other MCP servers that work with mcp-use
• Join the MCP community for tips and support
• Consider contributing to AgentBay development

Need Help?

• Search for AgentBay documentation
• Check the mcp-use MCP guide
• Join the MCP community discussions