Cognitive memory for AI agents. Implements Atkinson-Shiffrin multi-store memory (sensory → STM → LTM), semantic RAG with fastembed, Ebbinghaus forgetting curves, trust scoring, and metacognitive guard. 76+ MCP tools. 100% local, MIT licensed.
Provides AI agents with access to a comprehensive database of 200+ Next.js documentation URLs for intelligent document selection and retrieval. Enables Claude and other AI assistants to analyze user queries and recommend the most relevant Next.js documentation pages.
Unified MCP server combining hybrid search (vector + BM25 + code graph), structural code analysis, and persistent semantic memory. 15 tools, 25+ languages, <350MB RAM, fully local.
Turns your Obsidian vault into an MCP-enabled workspace with tools for reading/writing notes, managing folders, running semantic searches, and maintaining long-term memory—all while keeping data local to your vault.
Enables hybrid web search and intelligent content extraction, combining semantic search with documentation-optimized reading that strips noise and returns clean, token-efficient context for AI agents.
公开目录未提供摘要。
An implementation of weather mcp server that can be called by a clinet IDE like cursor.
created from MCP server demo
created from MCP server demo
Provides real-time NOAA space weather data (solar flares, Kp index, solar wind) and analyzes HF radio propagation conditions for amateur radio operators to determine optimal frequency bands.
Enables advanced malware development, threat intelligence analysis, and offensive security operations through specialized tools for multi-language payload generation, obfuscation, OSINT reconnaissance, and forensic analysis. Designed for authorized penetration testing, red team exercises, and cybersecurity research with comprehensive educational capabilities.
公开目录未提供摘要。
Render music notation from a JSON score to inline SVG (Verovio + Bravura), round-trippable MusicXML, and base64 MIDI in one call. Includes pre-flight validation with concrete fix suggestions and a curated music-theory knowledge search. Free, open, no auth, sponsored by Gradus School of Music Composition.
Production-grade Model Context Protocol server for Google NotebookLM that lets any MCP-capable client (Claude, ChatGPT, Cursor, etc.) interact with NotebookLM notebooks, sources, chats, and artifacts.
Enables AI agents to query and interact with Google NotebookLM notebooks to retrieve citation-backed information. It provides tools for listing notebooks, accessing source data, and asking natural language questions.
Enables interaction with Google's NotebookLM through natural language, allowing users to create and manage notebooks, add sources from URLs/YouTube/Google Drive, query AI for insights, generate audio podcasts and other studio content, and perform AI-powered research and analysis.
Enables interaction with Google's NotebookLM through natural language to create and manage notebooks, add sources from URLs/YouTube/Drive, perform AI-powered research and analysis, and generate audio overviews, videos, infographics, and slide decks from research content.
Enables AI assistants to interact with Google NotebookLM to manage notebooks, sources, and conversations via the Model Context Protocol. It allows for querying sources using NotebookLM's AI and automatically saving responses as notes.
Enables AI agents like Claude and Cursor to directly query Google's NotebookLM for zero-hallucination answers based on your uploaded documents, eliminating the need for manual copy-pasting and providing expert-level synthesized responses with source citations.
Enables interaction with Google NotebookLM through natural language to create and manage notebooks, add sources from URLs/YouTube/Google Drive, perform AI-powered research and analysis, generate audio podcasts, videos, infographics, and slide decks from notebook content.
