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Empower AI agents with searchable access to any markdown content through a Model Context Protocol (MCP) server.
Provides a foundational server implementation for Dremio's Materialized Centralized Processing (MCP) protocol, enabling file-based data interactions.
Serves remote Markdown files as accessible MCP resources.
Orchestrates large language models through chained operations to build complex, multi-layered critical analyses of current affairs.
Maintains project documentation and progress logs consistently across AI agents.
Enables remote execution of shell commands and access to documentation via a Model Context Protocol server.
Enables direct file system access and management for Obsidian vaults through Model Context Protocol (MCP).
Fetches and reads official documentation in real-time, providing instant, context-aware answers to developers within their AI assistant.
Process PDF lecture materials, extracting text, chunking for large language models, and converting to clean Markdown with LaTeX support.
A multi-agent NLP system analyzes, summarizes, and compares insurance policy documents, enabling intelligent document understanding, semantic search, and comparative analysis between Tunisian and international insurance standards.
Translates academic PDF documents, preserving mathematical formulas and original layout with intelligent assistance.
Leverages Retrieval-Augmented Generation (RAG) to provide a powerful question-answering system for documents and code, featuring Google AI integration and multiple API interfaces.
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