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Showcases the technology vision, core strengths, and application scenarios of the Agent to Agent - Multi-agent Collaboration Protocol.
Demonstrates building interactive Model Context Protocol (MCP) tools with elicitation capabilities.
Provides a query interface to understand the capabilities and rules of Dart class modifier combinations.
Enables AI assistants to extract detailed documentation from Mendix Studio Pro modules using the Model Context Protocol.
Transforms documents into searchable knowledge bases with AI-powered semantic search.
Offers real-time access to building codes, material specifications, and manufacturer guides to support DIY consultation.
Provides AI assistants instant access to GitLab's official documentation through a Model Context Protocol server.
Stores learning prompts locally to assist metacognition during LLM study sessions.
Fetches current documentation and code examples for libraries and frameworks instantly to streamline coding workflows.
Connects AI assistants like Claude to your Obsidian vault for efficient note management and interaction.
Provides an AI-powered web platform for interactive learning of discrete mathematics concepts.
Gives AI coding assistants instant access to your private documents—API specs, research papers, internal docs—without ever sending data to the cloud.
Verifies academic references against Crossref, Semantic Scholar, and arXiv to catch hallucinated citations, find real papers, and export corrected BibTeX.
Crawls and indexes documentation websites, enabling AI models to search, read, and expand on their content on demand.
Connects Moodle LMS with Large Language Models, enabling natural language queries for course information, materials, and assignments.
Indexes codebases into a structured database, providing AI assistants with rich tools for code discovery, architecture planning, and task orchestration.
Automates scientific research by enabling AI clients to search ArXiv, ingest papers via IBM DocLing, and provide RAG-powered Q&A over a personal library of academic documents.
Enables Large Language Models to read and surgically edit HTML and Markdown tables in documentation synced from platforms like GitBook, preserving original formatting.
Integrates Obsidian Vaults with Claude Code, allowing AI agents to read, edit, and manage notes as a virtual filesystem via the official Obsidian CLI.
Provides persistent, shared access to developer knowledge for various AI tools across multiple projects.
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