Scientific Research Tools MCP Repositories

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.

Enables AI assistants to perform searches on Google Scholar to access academic papers, retrieve paper metadata, and gather detailed author information. Facilitates efficient academic research through a seamless programmatic interface.

Search and retrieve academic papers from the PubMed database, providing access to titles, authors, journals, abstracts, and DOIs.

Handles value change dump (VCD) waveforms for AI models, providing specific signal changes within defined timestamp ranges to optimize context management for large waveform files.

Integrates DeepSeek R1's advanced reasoning engine with Claude for complex multi-step reasoning tasks. Enhances language processing capabilities to deliver precise and efficient responses.

Integrates GIS capabilities for geospatial analysis and operations, supporting geometric operations, coordinate transformations, and spatial calculations. Utilizes GIS libraries such as Shapely and PyProj for enhanced AI spatial functionality.

Perform advanced econometric analyses using R, including linear regression, panel data modeling, and various diagnostic tests. Facilitate data-driven decision-making through sophisticated statistical analyses.

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 civil engineering calculation tools including coordinate conversions between latitude/longitude and UTM/TWD97, Manning's coefficient lookup, soil pressure coefficient calculations, and drainage flow computations. Integrates seamlessly with LLM applications and AI tools for streamlined civil engineering workflows.

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.

Facilitates interaction between AI models and Ansys/AGI STK for advanced simulation tasks, enabling control over STK Desktop using natural language. Allows users to create simulation scenarios and manage satellite configurations through an intuitive MCP interface.

Provides access to scientific computing resources, enabling HDF5 file operations, Slurm job management, and hardware information retrieval. Facilitates data compression and decompression using gzip or zlib.

Automate the fine-tuning and deployment of custom Stable Diffusion models using a fully automated MLOps pipeline that integrates various Google Cloud components. The workflow facilitates Triggering, managing, and tracking training jobs while simplifying machine learning processes for model enhancement.

Connects to specialized AI agents for conducting complex research tasks through an orchestration system that enables multi-stage planning and parallel execution, resulting in high-quality, tailored research outcomes.

Enhances biomedical research through advanced protein structure analysis, enabling the examination of protein active sites and the discovery of disease-related proteins. It integrates with established protein databases for reliable insights and data access.

Provides GPU-accelerated graph visualization and advanced network analytics for complex network data, facilitating pattern discovery and community detection through a standardized API.

Automate reverse engineering and binary analysis tasks using IDA Pro through a standardized interface. Execute scripts, retrieve binary information, and perform advanced analysis to enhance productivity in software analysis.

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.

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

Integrate with MATLAB to create and execute MATLAB scripts and functions via MCP clients. Supports automation of MATLAB programming tasks within various applications.

Provides advanced logical reasoning capabilities through integration with the Coq proof assistant, enabling automated dependent type checking, inductive type definitions, and property proving with custom tactics and automation.

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.

Analyze BirdNET-Pi data and eBird observations through a natural language interface while providing visual representations of the data.

Integrates SAT, SMT, and constraint solving capabilities with Large Language Models, enabling interactive creation, editing, and solving of constraint models in MiniZinc, SAT models in PySAT, and SMT formulas using Z3 Python.

Simulates quantum circuits incorporating noise models and visualizes results. Supports OpenQASM 2.0 and various quantum algorithms with integration into MCP clients for streamlined use.

Facilitates symbolic computing, mathematical analysis, and data visualization for scientific and engineering applications using libraries like NumPy, SciPy, and Matplotlib in a containerized setup. Supports complex matrix calculations, statistical analysis, and machine learning tasks.

Systematic reasoning server implementation for Claude Desktop, supporting Beam Search and Monte Carlo Tree Search (MCTS) for enhanced complex problem-solving. Features experimental algorithms for policy simulation and adaptive exploration.

Connect to Crossref's database to search and access academic paper metadata, including metadata retrieval for specific papers, journals, and funding organizations using various queries.

Enhance applications with advanced language models for idea generation, analysis, and manipulation. Context-aware interactions enable transformation of workflows through intelligent thought processing.

Enables efficient discovery and retrieval of NASA Earth Data datasets and granules, facilitating geospatial analysis and data exploration. Integrates with workflows for AI-powered analysis of Earthdata datasets.