MCP Server Orchestrator FAQs

Question 1

What is the difference between a tool and a resource in MCP?

Accepted Answer

Tools are functions the AI can execute to perform actions or get data, while resources are static or dynamic data sources (like a file or a documentation page) that the AI can read as context.

Question 2

What is the primary role of an MCP server?

Accepted Answer

An MCP (Model Context Protocol) server acts as a standardized bridge that provides tools, resources, and prompts to AI clients like Claude, allowing the AI to interact with external APIs, databases, and local files.

Question 3

Can I run multiple MCP servers simultaneously?

Accepted Answer

Yes, MCP supports multi-server orchestration. You can define multiple servers in your configuration file, allowing the AI to choose the most relevant tool from different servers like filesystem, git, or custom API providers.

Question 4

Which programming languages are best for building custom MCP servers?

Accepted Answer

The Model Context Protocol currently provides official SDKs for Python and TypeScript/Node.js, making them the most supported languages for building custom server logic.

Question 5

How do I troubleshoot connection issues in Claude Desktop?

Accepted Answer

You should first verify the server starts independently in your terminal, check the logs located in ~/Library/Logs/Claude/ on macOS, and validate that your claude_desktop_config.json uses absolute paths for all commands.

MCP Server Orchestrator

MCP Server Orchestrator

主要功能

使用场景

主要功能

使用场景