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Provides a sample Model Context Protocol server exposing two basic tools for demonstration and development purposes.
Enables AI assistants to access and search through organized markdown documentation files automatically.
Provides AI assistants with direct access to comprehensive MoEngage documentation for enhanced search and retrieval.
Transforms documentation into intelligent, searchable knowledge bases using advanced vector embeddings and Retrieval-Augmented Generation.
Provides a server for managing model context during development and learning.
Integrates Overleaf projects with compatible AI clients, providing access to documents and resources.
Indexes and serves LLM-friendly documentation from multiple sources with BM25 search, semantic retrieval, and automatic background refresh.
Provides an Anki note storage system and summarization prompts for use with MCP.
Provides AI agents with real-time access to Wikipedia for research and information retrieval.
Enhances Obsidian note-taking by providing a TypeScript server for vault management, advanced search, and graph analytics.
Automate comprehensive documentation generation for diverse software projects, analyzing structure, dependencies, and code metrics.
Transforms dispersed documents into a unified, searchable knowledge base.
Access and parse scientific papers from arXiv, supporting Model Context Protocol for AI integration.
Manages TODO items with status tracking via a simple REST API.
Retrieves YouTube video transcripts in various formats for Large Language Model (LLM) integration.
Retrieves weather alerts and forecasts using the National Weather Service (NWS) API.
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