Scientific Research Tools MCP Repositories

Interface with the PapersWithCode API to retrieve information about research papers, authors, conferences, and methods. Utilize helper tools for enhancing the information processing and searching academic papers.

This utility provides specialized Stata commands and datasets for generating detailed cartographic representations of China's provincial boundaries. It incorporates essential geographic aids, such as scale bars, orientation markers, and significant demarcation lines like the Qinling-Huaihe line and the Hu Huanyong line. As a scientific instrument, it facilitates the visualization of empirical data, supporting both discrete classifications and continuous variable distributions across administrative units. Advanced features include overlaying point data and creating composite charts like proportional symbols directly onto the map base.

Connects Blender with Claude to analyze and manipulate IFC models, enabling querying of project information, exploration of spatial structures, and execution of Python code within Blender.

Analyze audio files to extract features such as beat, duration, and MFCCs, including support for audio from local files, YouTube links, or direct audio links.

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.

A high-fidelity prototype for learning physics concepts through interactive 3D simulations and AI-assisted learning. It offers a data visualization feature to help students understand physical experiments more intuitively.

Integrates DeepSeek R1's advanced reasoning engine with Claude to enhance reasoning capabilities for complex tasks. Supports intricate multi-step reasoning for improved precision and efficiency.

Execute MATLAB code seamlessly from Python, enabling efficient computation and data analysis with a shared MATLAB session that optimizes performance and resource utilization.

Connects to Sci-Hub for searching, accessing, and analyzing academic papers. Supports retrieving metadata and downloading full-text PDFs programmatically.

Enhances AI model reasoning and problem-solving capabilities by employing structured retrieval-augmented thinking processes. Provides features like adaptive thought chains, iterative hypothesis generation, and real-time context coherence for complex reasoning tasks.

Provides advanced cognitive analysis and problem-solving capabilities using structured cognitive tools, enabling users to assess cognitive states, generate novel perspectives, and decompose complex problems for effective solutions.

Provides a collection of TensorFlow models, including examples and research implementations, facilitating access to various machine learning solutions and learning resources. Users can explore TensorFlow capabilities through well-maintained models and associated tutorials.

Implement vehicle license plate recognition using C/C++ on FPGA, utilizing OpenCV for image display and Eigen for optimized matrix operations. The project includes code for training neural networks and processing license plate images.

Search and retrieve biomedical literature and research papers from PubMed. Supports advanced searches, batch querying, and retrieval of abstracts and full texts of open access articles.

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

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.

Provides access to academic paper data, author information, and citation networks through the Semantic Scholar API. Facilitates interaction with various academic resources for research purposes.

Explore and analyze RDF data with a conversational interface, enabling execution of SPARQL queries in both local and endpoint modes for insights from knowledge graphs.

Search for academic articles using the MCP server by querying a dedicated tool for relevant papers based on keywords. Access trusted academic sources for streamlined research.

Simulate classical physics phenomena using quantum computing techniques and tools like Qiskit. Provides interactive visualizations and insights into complex systems such as superconductivity and magnetism.

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

Interact with the arXiv API to retrieve scholarly article metadata, download PDFs, and search for articles using natural language queries. Enhance research workflows by directly accessing arXiv content within a large language model environment.

Fetch protein information seamlessly from the UniProt database, including detailed data, sequences, functions, and structures. Supports integration with MCP-compatible AI applications for enhanced protein analysis.

Search for bioRxiv papers, retrieve detailed metadata, and download papers to support biological sciences research and analysis.

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.

Access and analyze biomedical literature with advanced annotation and relationship mining capabilities. Programmatically search and export literature data through a user-friendly interface.

Provides access to PubChem chemical and bioassay data through a standardized MCP interface, allowing users to search for compounds, retrieve detailed chemical and bioassay information, and query molecular properties.

This scientific instrument models the emergence of artificial intelligence capabilities by simulating human psychological maturation across defined stages. It integrates core concepts from developmental psychology, such as Piaget's cognitive stages and attachment theory, to cultivate nuanced emotional and cognitive abilities in machine systems. Such frameworks are vital for advancing AI research beyond narrow task performance toward more robust, human-like generalized intelligence.

Analyze binary files and manage functions and variables remotely using IDA Pro's headless mode. Provides tools for efficient remote operations through the Multi-Client Protocol.

Search and explore proteomics datasets from the PRIDE Archive using structured queries. It facilitates the integration of AI models with biomedical research data for efficient data retrieval and analysis.