Why this server?
Provides RAG capabilities for semantic document search, allowing users to add, search, list, and delete documentation with metadata support.
Why this server?
An MCP server that provides tools to load and fetch documentation from any llms.txt source, giving users full control over context retrieval for LLMs in IDE agents and applications.
Why this server?
A Model Context Protocol server that enables LLMs to fetch and process web content in multiple formats (HTML, JSON, Markdown, text) with automatic format detection.
Why this server?
Enables integration with Google Drive for listing, reading, and searching over files, supporting various file types with automatic export for Google Workspace files.
Why this server?
A Model Context Protocol server for accessing Confluence API using Personal Access Tokens, enabling users to retrieve space lists, view pages, create new pages, and update existing content.
Why this server?
A Model Context Protocol server that allows AI assistants like Claude to access and search Atlassian Confluence content, allowing integration with your organization's knowledge base.
Why this server?
PDF to Markdown conversion tool
Why this server?
Provides tools for accessing coding style guidelines and best practices for various technologies including Java, Python, and React.
Why this server?
Bridges Large Language Models with Language Server Protocol interfaces, allowing LLMs to access LSP's hover information, completions, diagnostics, and code actions for improved code suggestions.