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Why this server?
Provides secure read-only access and file search within a specified directory, respecting .gitignore patterns, making it suitable for extracting data from files.
Why this server?
Enables integration with Google Drive for listing, reading, and searching files, including automatic export for Google Workspace files.
Why this server?
A Python server that enables interaction with Box files and folders through the Box API, allowing operations like file search, text extraction, and AI-based querying.
Why this server?
Automates the creation of standardized documentation by extracting information from source files and applying templates, supporting GitHub, Google Drive, and Perplexity AI integration.
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?
PDF to Markdown conversion tool, useful for extracting text data.
Why this server?
Allows LLM tools to access and summarize code files, providing structured access to codebase content.
Why this server?
Enables querying and analyzing medical imaging metadata from DICOM servers, including patient information and text extraction from encapsulated PDF documents.
Why this server?
A Model Context Protocol server that enables Large Language Models to fetch and process web content in multiple formats (HTML, JSON, plain text) from URLs.
Why this server?
Provides Claude with access to Pinata's API, allowing interaction with both Public and Private IPFS for file uploading, searching, organization, and content retrieval.