Enables reverse engineering in IDA Pro through a simple integration that allows interaction with various MCP tools. Provides functionality for checking connection status, retrieving metadata, and accessing functions by name or address.

Connects Claude AI to QGIS for project management and layer manipulation, enabling the creation, loading, and saving of projects, along with executing processing algorithms and running Python code directly within QGIS.

Search for academic articles in arXiv, providing access to a range of scholarly content and resources.

Conduct comprehensive research on complex topics by generating structured research reports and synthesizing information from diverse sources. This tool enables in-depth exploration of questions and identification of relevant sources.

Search and download academic papers from various sources such as arXiv, PubMed, bioRxiv, and Sci-Hub. Integrates with large language models to streamline access to scholarly articles and enhance research workflows.

Connects AI models to over 20 NASA APIs, providing a standardized interface for data retrieval and interaction. Supports automatic parameter validation and error handling for optimized data consumption.

Search and retrieve academic papers from the PubMed database using enhanced tools such as MeSH term lookup, publication statistics, and structured PICO-based evidence searches.

Guides complex problem-solving by breaking down challenges into structured thoughts using a systematic methodology. Supports iterative revisions and empirical validation for engineering design and optimization tasks.

Guides language models through rigorous scientific reasoning by structuring the inquiry process, facilitating systematic hypothesis testing, experimental design, and evidence evaluation to enhance model accuracy and transparency.

Integrate various tools for enhanced development workflows, including managing emails, calendars, and research tasks. It provides functionalities for development tools, data fetching, and leveraging academic resources.

Enables searching, downloading, and analyzing arXiv research papers through an MCP interface, managing local storage for efficient retrieval and utilizing specialized prompts for comprehensive analysis.

Provides automated reasoning capabilities through Prover9 and Mace4, enabling logical theorem proving and model verification. Facilitates formal validation of knowledge representations and implications via a clean MCP interface.

Perform scattering calculations using the discrete-dipole approximation for various geometrical shapes, including spheres. Utilize wave parameters to analyze scattering effects based on defined objects and their properties.

Provides access to arXiv research papers via a straightforward MCP interface, enabling AI models to search and retrieve academic articles.

Autonomously explores and validates numerous sources for relevant, trustworthy, and up-to-date information to enhance research capabilities. Optimizes context usage to provide comprehensive insights for research projects.

Search for accurate academic articles by keyword to facilitate research workflows. Integrates with applications to provide seamless retrieval of scholarly papers.

Enables AI-powered access to the Oorlogsbronnen database for natural language queries related to historical World War II archives from the Netherlands.

Provides access to arXiv papers through their API, enabling searches for papers by title and abstract, retrieval of metadata and abstracts, and access to various paper formats including PDF and HTML.

Connects AI models to PubMed for searching, accessing, and analyzing biomedical articles, allowing retrieval of detailed metadata and deep analysis of research papers. Facilitates access to full-text PDFs and supports specialized prompts for comprehensive paper examination.

Calculate altitude, rise, and set times of celestial objects based on geographic location, while also analyzing light pollution to improve stargazing conditions. Supports a variety of celestial objects including the Sun, Moon, planets, and deep-space entities.

A collection of optimized deep learning models and demos designed to facilitate the development of high-performance deep learning inference applications using pre-trained models. Offers integration and validation tools with automation scripts for rapid deployment.

Provides tools and resources for training and experimenting with artificial intelligence models. Facilitates model development and evaluation with integrated datasets and utilities.

Search and access arXiv research papers through a simple interface, facilitating the retrieval and download of academic content for analysis. Streamline research with local storage and efficient access to extensive academic resources.

Zotero MCP allows you to link your Zotero research library with AI assistants, enabling you to discuss academic papers, receive summaries, and analyze citations for better research productivity.

Integrates psychological growth and emotional intelligence to develop AI systems through defined developmental stages, enhancing cognitive and emotional capabilities.