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A Model Context Protocol server that enables the extraction of text, metadata, and embedded images from PDF files. It provides tools for searching text with context, reading specific pages, and counting total pages within a document.

Provides tools for extracting text, performing OCR on scanned documents, and retrieving images from PDF files. It enables Model Context Protocol clients to process PDF content page-by-page through specialized extraction tools.

Enables conversion of Markdown content into PDF documents with customizable paper formats and orientations. Supports both inline Markdown text and file path inputs, automatically generating PDFs using Playwright and Chromium.

A multi-server system that converts PDF documents to Markdown format using FastMCP architecture with upload and convert servers orchestrated by a reactive client agent.

An MCP server that enables users to read, search, and analyze PDF documents. It provides tools for extracting text, viewing metadata, searching content with context, and generating word statistics.

An MCP server for local PDF manipulation including merging, splitting, rotating, watermarking, and text extraction. It works with various MCP-compatible clients and processes PDFs entirely on-device without cloud services.

A customer and product management MCP server using SQLite. It enables Claude Desktop users to manage client and product data through natural language interactions.

A PDF-to-Markdown converter built with the Model-View-Controller (MVC) pattern using the Model Context Protocol (MCP).

MCP server providing AI assistants access to Polish public registries (KRS, CEIDG) and statistical data (GUS BDL) for querying companies, sole proprietorships, and regional statistics.

Enables AI agents to execute SQL queries and introspect PostgreSQL schemas, tables, and indexes with read-only safety by default. Supports optional write operations and works with Claude, LangChain, and other agents via stdio or HTTP transports.

Enables secure read-only access to PostgreSQL databases through SELECT queries only, with tools for exploring schemas, listing tables, and executing common queries while preventing any data modification operations.

Provides secure, read-only PostgreSQL database access via MCP tools like query_inventory and get_top_sales. Blocks dangerous SQL commands while allowing AI to execute controlled SELECT queries.

Enables anonymization and deanonymization of sensitive data in text using Microsoft Presidio. Supports session-based storage to reversibly replace sensitive information like passwords and secrets with placeholder tokens.

A comprehensive Model Context Protocol (MCP) server for product inventory management with PostgreSQL database backend, enabling natural language queries for product information across multiple AI platforms.

一个基于Gmail和LiveKit的个人知识助手，可通过语音与通讯互动，支持提问、摘要和笔记功能，文章内容存储在SQLite和ChromaDB中用于语义搜索。

全面解析MCP PyboyMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，MCP Pyboy能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

An MCP server for the comprehensive analysis of Swagger 2.0 and OpenAPI 3.x contracts. It allows users to extract detailed information about endpoints, request/response schemas, parameters, and security configurations from API documentation.

MCP Ragdoc Fork

全面解析Ragdocs (Vector Documentation Search)MCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Ragdocs (Vector Documentation Search)能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Enables querying and retrieving experimental protein structures from the RCSB Protein Data Bank, including text search, full entry records, polymer entities, ligands, and assemblies.

Enables searching and accessing Readwise highlights and documents through HTTP endpoints using the Model Context Protocol. Provides vector and full-text search capabilities with streaming responses for retrieving reading highlights and notes.