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Why this server?
This server provides unified access to multiple search engines, AI tools, and content processing services, which is crucial for gathering comprehensive information on the JFK assassination document releases.
Why this server?
This server enables fetching web content using the Node.js undici library, supporting various HTTP methods, content formats, and request configurations, useful for accessing specific online documents related to the JFK assassination.
Why this server?
The Box MCP Server facilitates searching and reading PDF and Word files in Box, potentially allowing access to documents stored in Box related to the JFK assassination.
Why this server?
Enables LLMs to search, retrieve, and manage documents through Rememberizer's knowledge management API, useful for accessing and organizing information related to the JFK files.
Why this server?
Enables interaction with GitHub through the GitHub API, supporting file operations, repository management, and advanced search, which could be helpful in finding and analyzing publicly available documents or analyses related to the JFK assassination.
Why this server?
Integrates with Google Drive to enable listing, searching, and reading files, potentially allowing access to documents stored in Google Drive related to the JFK assassination.
Why this server?
Provides functionality to fetch web content in various formats, including HTML, JSON, plain text, and Markdown, useful for scraping and analyzing web pages related to the JFK documents.
Why this server?
This MCP server provides tools to merge, extract, and search PDF documents. It also could extract text for related PDF files.
Why this server?
A server based on the MCP protocol that uses the Brave API for web search functionality.
Why this server?
A Python implementation of an MCP server that extracts webpage content, removes ads and non-essential elements, and transforms it into clean, LLM-optimized Markdown. Useful for getting clean data from articles.