An MCP server that provides a tool to extract text content from local PDF files, supporting both standard PDF reading and OCR capabilities with optional page selection.
Enables LLMs to retrieve and analyze Steam game reviews, providing access to review statistics, game information, and helping summarize pros and cons of games.
mcp using PyPDF2 to:
• merge-pdfs
• extract-pages
• search-pdfs
• merge-pdfs-ordered (merge in user spec. order)
• find-related-pdfs (regex extracted text for related PDF files)
Provides PDF.co API functionality through the Model Context Protocol, enabling AI assistants to perform various PDF processing tasks like conversion, editing, searching, and security operations.
Get access to real-time SEO data, including: keyword insights, backlink data, traffic estimates and more. Allow AI tools and Large Language Models (LLMs) to tap into the real-time SEO Review Tools API with natural language commands.
An MCP server that allows users to efficiently search and reference user-configured documents through document listing, grep searching, semantic searching with OpenAI Embeddings, and full document retrieval.
Enables vector similarity search and serving of Svelte documentation via the MCP protocol, with support for local caching and multiple llms.txt documentation formats.
A PDF processing server that extracts text via normal parsing or OCR, and retrieves images from PDF files through the MCP protocol with a built-in web debugger.
A Model Context Protocol (MCP) based server that efficiently manages PDF files, allowing AI coding tools like Cursor to read, summarize, and extract information from PDF datasheets to assist embedded development work.
A Model Context Protocol (MCP) server that provides daily-refreshed documentation for 9000+ libraries directly in AI code editors, helping developers avoid outdated references and hallucinations.
A Model Context Protocol server that enables Claude to fetch, process, and extract information from PDF documents, including LaTeX mathematical equations.
A Model Context Protocol server that provides an interface for AI models to interact with Google Docs, enabling reading, creating, updating, and searching Google Documents.
An MCP (Multi-Agent Conversation Protocol) Server that enables AI agents to interact with Google Docs via natural language, automatically generated using AG2's MCP builder.
An MCP server that provides AI assistants with access to Astro documentation, enabling them to search and reference Astro docs when helping users with Astro-related tasks.
MCP server that converts Markdown to high-quality PDF documents using LaTeX, enabling AI agents like Claude to generate professional PDFs without requiring sign-ups or credit cards.
Empowers AI agents to securely read and extract information (text, metadata, page count) from PDF files within project contexts using a flexible MCP tool.
An MCP server that provides code review functionality using OpenAI, Google, and Anthropic models, serving as a "second opinion" tool that works with any MCP client.
An MCP server that provides AI tools with access to Rust documentation from docs.rs, enabling search for crates, documentation, type information, feature flags, version information, and source code.
An MCP server that converts Excel and Apple Numbers files to PDF format, enabling AI assistants like Claude to perform file conversion directly through conversation.
A specialized code review service that provides 36+ critics for different programming aspects and 3 fixing strategies to automatically address identified issues in a two-step workflow.
A Model Context Protocol server that enables AI agents to interact with Google Workspace services including Drive, Docs, and Sheets through natural language commands.