"Palo Alto Networks" matching MCP servers:

Provides access to OpenAlex's catalog of 240+ million scholarly works through 18 specialized tools for conducting literature reviews, analyzing citations, tracking research trends, and mapping the scholarly landscape including authors, institutions, and collaboration networks.

Enables AI agents to conversationally interact with genomics research networks for data analysis and discovery across multiple Omics AI Explorer platforms. It provides tools for exploring data collections, examining table schemas, and executing SQL queries against datasets like Viral AI and Neuroscience AI.

Provides access to the STRING protein-protein interaction database for mapping identifiers, retrieving interaction networks, and performing functional enrichment analysis. It enables users to explore protein partners, pathways, and cross-species homology through natural language interactions.

Headless PyMOL for molecular visualization, GROMACS/LAMMPS MD trajectories, and clathrate-hydrate cage analysis: H-bond networks, F3/F4 order parameters, and TRACE cage perception + occupancy.

A Model Context Protocol server that enables Claude and other LLMs to interact with the Drama Corpora Project API for analyzing dramatic texts, character networks, and play information across different languages and periods.

Semantic Scholar API, providing comprehensive access to academic paper data, author information, and citation networks.

Search over scholar data and social networks

Enables OSINT research by searching usernames across hundreds of social networks and websites, and analyzing URLs to extract information and find associated usernames using the Maigret tool.

Enables estimation of PC-SAFT pure-component parameters and prediction of properties like density and vapor pressure for any molecule or mixture using Graph Neural Networks.

Enables AI agents to search scholarly works, authors, institutions, venues, and concepts, retrieve detailed metadata, and explore citation networks through natural-language requests.

Enables searching and retrieving scholarly works, authors, institutions, and citation networks from the OpenAlex catalog via natural language.

MCP server for STRING-DB that enables querying protein-protein interaction networks, functional enrichment, and homology mappings.

Connects Scopus to AI assistants for literature discovery. Provides tools for finding papers, experts, citation networks, and analyzing research trends.

Enables natural language analysis of mechanical test data files (CSV, TDMS, MDF) by providing tools for channel statistics, spectrum analysis, rainflow fatigue counting, thermal state detection, and report generation.

Enables AI agents to search and analyze OpenAlex scholarly database for OSINT research, including works, authors, institutions, funding, citations, and collaboration networks.

Enables AI assistants to interact with the SciX (formerly NASA ADS) API to search scientific literature, export citations, and analyze bibliometric data. It supports advanced tools for managing libraries, resolving astronomical object names, and exploring citation networks.

Enables analysis of academic author networks and research collaborations by retrieving co-authors and research keywords from sources like Semantic Scholar, OpenAlex, Crossref, and Google Scholar.

Enables researchers to search ArXiv papers, extract key insights (problems, methods, results) from abstracts, and perform ML-powered analysis including topic modeling, trend visualization, and author collaboration networks.

MCP server that wraps VS Auto Trend API to provide trend data and concept brief generation tools for LLMs.

A local academic tool that enables searching across nine academic sources, downloading PDFs, and performing AI-powered analysis of research papers. It also supports generating citation networks and recommending papers based on local workspace code.