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Converts Markdown text to Word documents via HTTP API, providing temporary download links with automatic file cleanup after 2 hours.

Documentdb MCP

MCP server to interact with the DocumentDB database and perform basic operations. The module has some specifications, based on the business rule we are working on, to manage product catalogs.

Extracts and stores documentation content from Microsoft Learn and GitHub URLs into PocketBase with full-text search, metadata preservation, and automatic collection management for easy retrieval and organization.

Enables AI agents to generate professional Word and PDF documents with support for Markdown, syntax highlighting, and smart pagination. It features automatic JSON detection and responsive A4 formatting for creating high-quality technical reports and manuals.

Provides tools and resources for managing in-memory documents, allowing users to read, edit, and list document contents via the Model Context Protocol. It includes features for formatting documents to Markdown and accessing document-specific resources.

Enables systematic document organization with PDF-to-Markdown conversion, intelligent categorization, and automated workflow management. Supports project documentation standards and provides complete end-to-end document processing pipelines.

Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.

An MCP server that enables users to query documents from Google Drive using AI assistance, providing tools for searching vector databases and generating answers based on document content.

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.

Enables reading and processing various document formats including Word, PDF, RTF, and text files. Supports extracting media elements like images and links, with features for PDF page range selection and automatic text encoding detection.

Enables interaction with DocuSeal instances to manage document templates, create signature requests, and track submission statuses. It provides tools for uploading PDFs, managing submitters, and downloading signed documents via the DocuSeal API.

A comprehensive Model Context Protocol server that processes Microsoft Word documents with full formatting support, enabling text extraction, HTML/Markdown conversion, structure analysis, and image extraction.

Enables Word document generation from templates using Jinja2 syntax and parsing of DOCX, PDF, and Excel files to extract structured content, metadata, and text.

PDF/DOCX/Excel generation from HTML/Markdown with stationery overlay, ZUGFeRD/XRechnung e-invoicing, digital signing, form filling, and AI receipt OCR with DATEV/SKR03 export.

TypeScript MCP server for accessing Department of Labor enforcement data, OSHA inspections, and SAM.gov contract opportunities via natural language queries.

Enables LLMs to explore database schemas, execute read-only SQL queries, and perform data analysis on Apache Doris or MySQL-compatible databases through a standardized MCP interface with built-in analytical prompts.

Enables AI assistants and IDEs to execute SQL queries on local DuckDB databases, in-memory databases, or cloud-stored databases with support for flexible connections and configurable result limits.

A FastAPI-based banking API designed for portfolio analysis and customer data management, enabling MCP server integration with CustomerOID-based operations for financial data processing.

Enables AI applications to write and execute natural language queries on organizational data stored in DX Data Cloud's Postgres database. Runs locally and provides a query tool for AI assistants to formulate and execute database queries with user approval.

Enables interaction with the Estonian e-arveldaja (RIK e-Financials) REST API to manage financial records like invoices and journal entries using natural language. It supports automating purchase invoice entry from PDFs, reconciling bank transactions, and generating financial reports.