Extract webpage content as Markdown formatted text, tailored for large language models. Supports custom CSS selectors, link inclusion, and length limits via Concurrent Browser MCP.
Search and analyze specific sections in large PDF documents using a query. Specify context window, maximum matches, and case sensitivity to refine results for targeted information extraction.
Parse Swagger/OpenAPI documents with caching, large document support, and options for schema filtering, lazy loading, and validation control. Ideal for generating API client code and TypeScript types.
Generate machine-readable permission guidelines for AI models by creating standardized LLMs.txt files that define how large language models should interact with websites.
Generate machine-readable permission guidelines for AI models by creating standardized llms.txt files that define how large language models should interact with websites.
An MCP server for intelligent logo extraction and processing, supporting automatic recognition and extraction of logo icons from website URLs, and providing image processing and vector conversion functions.
An MCP Server that provides a conversational interface to the DoubleClick Bid Manager API, allowing users to manage programmatic advertising campaigns through natural language interactions.
Enables intelligent handling of large files through smart chunking, search with regex support, line navigation, and streaming capabilities without loading entire files into memory.