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Enables AI systems to interact with Airtable bases for reading and writing data.
Enables any LLM to interactively debug code in any language through MCP and a VS Code Extension.
Enables SQL analytics capabilities for Claude by integrating MotherDuck and local DuckDB.
Implements strategic pattern interrupts in AI workflows to prevent cascading errors and tunnel vision.
Facilitates biomedical research by providing an open-source toolkit for AI assistants and agents to search and retrieve data on clinical trials, PubMed articles, and genomic variants.
Quickly scaffolds Python projects for Model Context Protocol (MCP) servers.
Enables AI agents to manage and search data within Redis using natural language.
Provides access to real-time financial news, stock data, and index data via the Tushare API for language models.
Combines search and Large Language Models (LLMs) to generate insights from your data using Retrieval Augmented Generation (RAG).
Enables AI assistants and automated analysis tools to interact with Ghidra's reverse engineering capabilities through a standardized API.
Automates and simplifies diverse research workflows by integrating large language models with web search, social media, mapping, and code exploration.
Delivers professional-grade financial data analysis, technical indicators, and portfolio optimization tools directly to AI assistant interfaces for individual investors.
Enables AI assistants to safely query any PostgreSQL database using natural language, returning structured SQL results.
Enables LLMs to interact with applications and navigate complex service hierarchies through a declarative Agentic AI framework.
Provides unified access to over 30 AI models within Claude Code, eliminating API keys and enabling pay-per-request micropayments.
Integrate a comprehensive suite of offensive security tools into AI assistants like Claude for automated security assessments and analysis.
Provides Claude with a sophisticated, cognitive science-backed memory system for persistent recall, context management, and proactive information storage.
Transforms AI agents into structured, science-backed learning companions for lifelong human skill development.
Rapidly extract clean, structured web content for LLMs and AI agents, offering fast scraping, crawling, and data extraction capabilities from Rust.
Transforms various source documents into a self-compounding, LLM-maintained knowledge base, enabling intelligent information synthesis and retrieval.
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