Why this server?
Provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.
Why this server?
Provides functionality to fetch web content in various formats (HTML, JSON, plain text, and Markdown) through simple API calls.
Why this server?
A Model Context Protocol server that enables LLMs to interact with web pages, take screenshots, generate test code, scrape web pages, and execute JavaScript in a real browser environment.
Why this server?
An open-source MCP server that allows clients to interact with llms.txt documentation files, allowing users to control and audit context retrieval.
Why this server?
An MCP server that extends AI agents' context window by providing tools to store, retrieve, and search memories, allowing agents to maintain history and context across long interactions.
Why this server?
A Model Context Protocol server that integrates with Storybook to help AI tools query UI components and retrieve usage examples from static Storybook files.