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Enables Cursor IDE to query World Mini Apps documentation for coding assistance.
Facilitates querying large sports-themed question answering datasets via the Model Context Protocol.
Provides a vector search system for document retrieval using MongoDB Atlas Vector Search and Voyage AI embeddings.
Generates complete constructor examples with placeholder values for Pulumi resources.
Offers a collection of sample projects and resources for backend development.
Accelerates academic research by intelligently searching literature, extracting facts, and generating innovative research hypotheses using AI.
Orchestrates comprehensive travel planning by leveraging an agentic workflow, integrating multi-LLM support and essential travel tools through the Model Context Protocol.
Access over 600 documentation sets from DevDocs.io through AI models like Claude and Copilot via a Model Context Protocol (MCP) server.
Preserves project context, documentation, decisions, and progress across Claude Code sessions.
Automates the analysis of Git commit history to generate structured, daily CSV reports for progress tracking and documentation.
Integrates Claude with Hulunote, a bidirectional linking note-taking application, to enable AI-assisted knowledge management.
Integrates Google NotebookLM with AI assistants, providing direct access to notebooks and their content for intelligent querying.
Empowers AI coding agents with specialized knowledge, skills, and validation tools for SolidJS development.
Provides a high-performance Language Server Protocol (LSP) and Model Context Protocol (MCP) server for Markdown and various structured data formats, optimized for AI agents.
Provides AI assistants with structured access to a comprehensive database of Dutch legal information including statutes, court decisions, parliamentary documents, and EU cross-references.
Integrates IT Glue documentation, passwords, and asset management capabilities with AI assistants like Claude.
Provides on-demand access to official prompting guides for building robust meta-prompts within your LLM workflow.
Provides AI assistants with semantic search over local documentation and coding guidelines, ensuring privacy and data security.
Connects Large Language Models (LLMs) directly to the arXiv repository for semantic paper discovery, automated citation generation, and direct PDF downloads.
Connects AI assistants to your Confluence instance, enabling real-time search and retrieval of pages.
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