Server 101 FAQs

Question 1

What is Server 101?

Accepted Answer

Server 101 is a robust implementation of the Model Context Protocol (MCP), designed to facilitate seamless integration and interaction with various documentation sources for AI models. It allows you to query and extract relevant information from libraries like Langchain, OpenAI, and LlamaIndex.

Question 2

How do I get started with Server 101?

Accepted Answer

You need Python 3.12 or higher and pip installed. Then, follow the project setup instructions, which involve creating a virtual environment, installing dependencies using the uv package manager, and running the MCP server.

Question 3

What are the key features of Server 101?

Accepted Answer

Key features include web search for documentation, content extraction from webpages, support for querying specific libraries (Langchain, OpenAI, LlamaIndex), asynchronous operations for efficient web searches, and dependency management using pyproject.toml and uv.lock.

Question 4

Can I contribute to Server 101?

Accepted Answer

Yes! Contributions are welcome. Fork the repository, create a feature branch, commit your changes, push to the branch, and open a pull request.

Question 5

What is the Model Context Protocol (MCP)?

Accepted Answer

The Model Context Protocol (MCP) is an open, standardized protocol that connects AI models with external data sources and tools, functioning like a “USB-C port” for AI applications. It uses a client-server architecture.

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