MCP-Server-101
by shiv-rna
MCP-Server-101 is a robust implementation of the Model Context Protocol (MCP), designed to facilitate seamless integration and interaction with various documentation sources. It provides tools for querying and extracting relevant information from documentation.
Last updated: N/A
What is MCP-Server-101?
MCP-Server-101 is a server implementing the Model Context Protocol (MCP). It acts as a lightweight server that exposes functionalities for AI applications to access external data sources and tools, such as web search and documentation retrieval.
How to use MCP-Server-101?
To use MCP-Server-101, you need Python 3.12 or higher and access to the Serper.dev API. First, install the uv package manager. Then, create a project, set up a virtual environment, and install the necessary dependencies using uv. Create a main.py file for the server implementation and run the server using uv run main.py. Finally, configure your AI application (e.g., Claude Desktop) to connect to the MCP server.
Key features of MCP-Server-101
Web Search using Serper.dev API
Web Content Fetching and Parsing
Documentation Search Tool for Langchain, OpenAI, and Llama-Index
Asynchronous Operations for efficient web requests
Modular Design for maintainability and extensibility
Use cases of MCP-Server-101
Querying documentation for specific libraries
Integrating AI models with external data sources
Automating information retrieval from the web
Providing AI applications with access to tools and functionalities
Connecting Claude Desktop to external resources
FAQ from MCP-Server-101
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
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.
What are the key components of MCP?
What are the key components of MCP?
The key components include Hosts (AI applications), Clients, MCP Servers, Local Data Sources, and Remote Services.
What capabilities do MCP servers provide?
What capabilities do MCP servers provide?
MCP servers can provide Resources (file-like data), Tools (functions that can be called by the LLM), and Prompts (pre-written templates).
What libraries are supported by the documentation search tool?
What libraries are supported by the documentation search tool?
The documentation search tool supports langchain, openai, and llama-index.
How do I configure Claude Desktop to use MCP-Server-101?
How do I configure Claude Desktop to use MCP-Server-101?
Edit the ~/Library/Application Support/Claude/claude_desktop_config.json file to include the MCP server configuration, specifying the command and arguments to run the server. Then, restart Claude Desktop.