Tools and integrations for collecting, analyzing, and managing research-focused data. Includes features to process structured and unstructured datasets.
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
A Node.js server implementing Model Context Protocol (MCP) that enables natural language interaction with Binalyze AIR's digital forensics and incident response capabilities.
The ArXiv MCP Server bridges the gap between AI models and academic research by providing a sophisticated interface to arXiv's extensive research repository. This server enables AI assistants to perform precise paper searches and access full paper content, enhancing their ability to engage with scientific literature.
Enables programmatic access to the IACR Cryptology ePrint Archive, facilitating the search and retrieval of cryptographic research papers and metadata via a secure interface.
A Model Context Protocol server that enables LLMs to autonomously perform symbolic mathematics and computer algebra through SymPy's functionality for manipulating mathematical expressions and equations.
MCP Extension that gives LLMs access to arXiv and Hugging Face papers, enabling users to discuss papers, search for new research, and organize literature reviews through natural conversation.
Provides standardized access to aging and longevity research data from the OpenGenes database, enabling AI assistants to query comprehensive biomedical datasets through SQL and structured interfaces.
Enables LLMs to access Fujitsu's Digital Rehearsal API through natural language, allowing users to run and analyze simulations of human and social behavior in digital space.
A comprehensive Model Context Protocol server that enables advanced PubMed literature search, citation formatting, and research analysis through natural language interactions.
A comprehensive Model Context Protocol server providing access to over 110 million chemical compounds with extensive molecular properties, bioassay data, and chemical informatics tools from the PubChem database.
Provides access to over 110 million chemical compounds with tools for chemical search, structure analysis, property calculation, bioassay data retrieval, and safety information through the PubChem database.
Enables AI assistants to search and access arXiv research papers through a simple Message Control Protocol interface, allowing for paper search, download, listing, and reading capabilities.
Connects your Zotero research library with Claude and other AI assistants via the Model Context Protocol, allowing you to search your library, access content, discuss papers, get summaries, and analyze citations.
Retrieve citation data effortlessly from CiteAs and Google Scholar. Get BibTeX-formatted citations for your resources with just a few commands. Enhance your research workflow by integrating citation retrieval directly into your applications.
Provides paper search, PDF link retrieval, and content parsing for arXiv research papers, enabling seamless access to scientific literature through the Model Context Protocol.
Enables real-time search and retrieval of academic paper information from multiple sources, providing access to paper metadata, abstracts, and full-text content when available, with structured data responses for integration with AI models that support tool/function calling.
Provides real-time financial data to language models via MCP protocol, enabling access to stock prices, market indices, and financial news through Tushare API.
A comprehensive Model Context Protocol (MCP) server for accessing the STRING protein interaction database. This server provides powerful tools for protein network analysis, functional enrichment, and comparative genomics through the STRING API.
Enables users to search for academic articles on platforms like arXiv using specific keywords, with plans to integrate more scholarly databases in the future.
A Model Context Protocol server that provides access to the DBLP computer science bibliography database, allowing AI models to search publications, process citations, and generate accurate BibTeX entries.
AoT MCP server enables AI models to solve complex reasoning problems by decomposing them into independent, reusable atomic units of thought, featuring a powerful decomposition-contraction mechanism that allows for deep exploration of problem spaces while maintaining high confidence in conclusions.
A Model Context Protocol server that provides database interaction capabilities through SQLite, enabling users to run SQL queries, analyze business data, and automatically generate business insight memos.
A production-ready Model Context Protocol (MCP) server that provides comprehensive access to the BioOntology API for searching, annotating, and exploring over 1,200 biological ontologies.
The server functions as an MCP server to interact with Notion for retrieving and creating survey data, integrating with the Claude Desktop Client for conducting and reviewing surveys.
A comprehensive Model Context Protocol server for accessing Gene Ontology (GO) data, enabling AI systems to perform ontology-based analysis, gene annotation research, and functional enrichment studies.
An MCP server that provides comprehensive financial insights and analysis by leveraging real-time market data, news, and advanced analytics for stocks, options, financial statements, and economic indicators.
A Model Context Protocol server providing LLMs with access to the Ensembl genomics database, enabling AI assistants to query gene information, sequences, variants, and other genomic data across multiple species.
A comprehensive Model Context Protocol (MCP) server for accessing Human Protein Atlas data, providing information about protein expression, subcellular localization, pathology, and more.
A tool for querying and analyzing materials data from the Materials Project database using natural language prompts, enabling materials scientists to explore properties, structures, and compositions of materials through conversational interfaces.
Enables AI assistants to access protein information directly from UniProt, allowing retrieval of protein names, functions, sequences, and organism data by accession number.
Enables analysis of claims, validation of sources, and detection of manipulation using multiple epistemological frameworks to ensure credible and ethical information.
A comprehensive Model Context Protocol (MCP) server that provides access to the Ensembl REST API for genomic data, comparative genomics, and biological annotations.
A bridge connecting AI agents to NCBI's PubMed database through the Model Context Protocol, enabling seamless searching, retrieval, and analysis of biomedical literature and data.
This server allows users to interact with their Zotero library through the Model Context Protocol, providing tools for searching items, retrieving metadata, and accessing full text using natural language queries.
This TypeScript-based server implements a simple notes system using MCP concepts, enabling users to create, list, and summarize text notes through natural language prompts.
Enables AI assistants to search and retrieve academic papers from arXiv through MCP tools, supporting search by various criteria, detailed paper information, category browsing, and PDF content extraction.
A Model Context Protocol (MCP) server that provides access to Crunchbase data for AI assistants. This server allows AI assistants to search for companies, get company details, funding information, acquisitions, and people data from Crunchbase.
A Model Context Protocol server that enables natural language interaction with arXiv.org, allowing users to search, retrieve metadata, download PDFs, and load scholarly articles into LLM context.
An MCP server for navigating thought processes using branches, supporting thought cross-references and priority tracking to enhance insight generation and structured idea exploration.
This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.
A Model Context Protocol server that enables searching Google Patents information via the SerpApi Google Patents API, allowing users to query patent data with various filters and sorting options.
Enables Claude to query comprehensive geologic data from the Macrostrat API, including geologic units, columns, minerals, and timescales through natural language.
An MCP server that enables single-cell RNA sequencing analysis through natural language, supporting data processing, visualization, and analysis tasks without requiring coding knowledge.
An MCP server that integrates AI retrievals with NASA's Common Metadata Repository (CMR), allowing users to search NASA's catalog of Earth science datasets through natural language queries.
Enables access to the Semantic Scholar Academic Graph API for searching and retrieving detailed information about academic papers, authors, citations, and references.
Phoenix MCP Server is an implementation of the Model Context Protocol for the Arize Phoenix platform. It provides a unified interface to Phoenix's capabilites.
You can use Phoenix MCP Server for:
Prompts Management: Create, list, update, and iterate on prompts
Datasets: Explore datasets, and synte
A mathematical computation service that enables users to perform symbolic calculations including basic arithmetic, algebra, calculus, equation solving, and matrix operations through the MCP protocol.
A Model Context Protocol server that enhances language models with protein structure analysis capabilities, enabling detailed active site analysis and disease-related protein searches through established protein databases.
Enables users to manage and navigate nf-core bioinformatics pipeline repositories, allowing list, search, and explore operations on pipeline configurations, workflows, and modules.
An MCP server that enables intelligent searching, filtering, and exporting of Software Engineering papers on arXiv with tools for querying by keywords, authors, analyzing trends, and finding related research.
A powerful research assistant that conducts intelligent, iterative research through web searches, analysis, and comprehensive report generation on any topic.
A Model Context Protocol server providing AI assistants with access to healthcare data tools, including FDA drug information, PubMed research, health topics, clinical trials, and medical terminology lookup.
A TypeScript implementation of the Model Context Protocol server that enables searching arXiv papers and extracting paper information through standardized client-server communication.
Provides access to the Integrated Taxonomic Information System (ITIS) database via a Model Context Protocol server, enabling taxonomic searches by scientific name, TSN, kingdom, and rank, with features like autocomplete and hierarchical data retrieval.
An MCP server implementation that leverages Google's Gemini API to provide analytical problem-solving capabilities through sequential thinking steps without code generation.
A proof-of-concept server that enables LLM agents to interact with RSpace API endpoints using the Model Context Protocol, allowing AI assistants to access and manipulate research data in RSpace.
An MCP server that provides comprehensive Excel file operations, data analysis, and visualization capabilities for working with various spreadsheet formats like XLSX, CSV, and JSON.
Provides tools for managing quantitative research knowledge graphs, enabling structured representation of research projects, datasets, variables, hypotheses, statistical tests, models, and results.
"mcp\_scholar" is a Python-based tool for searching and analyzing Google Scholar papers, supporting features like keyword-based searches and integration with MCP clients and Cherry Studio. It provides functionalities such as fetching top-cited papers from scholar profiles and summarizing research top
A Model Context Protocol server that wraps the Tracxn REST API, providing a standardized interface for LLMs to access and interact with Tracxn company data.
Provides specialized AI-powered comprehensive research and analysis capabilities by integrating with advanced deep research agents, offering unlimited queries with no rate limits and faster performance than comparable services.
GPU-accelerated graph visualization and analytics server for Large Language Models that integrates with Model Control Protocol (MCP), enabling AI assistants to visualize and analyze complex network data.
The Materials Project MCP Server is server that provides programmatic access to the Materials Project database. It enables LLMs, to search, analyze, and retrieve up to date materials science data.
A Model Context Protocol server that provides DLIS (Digital Log Interchange Standard) file analysis capabilities. This server enables LLMs to extract information from DLIS files, including channel data and metadata, with support for hierarchical data structures.
A feature-rich NASA data query tool that supports various NASA API services including astronomy pictures, Mars rover photos, Earth satellite images, near-Earth objects data, and space weather information through natural language queries.
A research tool that performs comprehensive, in-depth research on complex topics by combining sequential thinking with Brave Search capabilities to provide detailed, well-sourced reports.
A scientific reasoning framework that leverages graph structures and the Model Context Protocol (MCP) to process complex scientific queries through an Advanced Scientific Reasoning Graph-of-Thoughts (ASR-GoT) approach.
An advanced Medical Care Platform server designed for accessing and analyzing clinical evidence data to support precision medicine and oncology research.
A server that allows AI assistants to search for research papers, read their content, and access related code repositories through the PapersWithCode API.
A high-performance server for analyzing GitHub user starred repositories, providing insights into development trends, technology adoption patterns, and timeline tracking.
A Model Context Protocol server that enables querying the Crossref API to search for academic publications by title, author, or DOI, returning structured metadata about scholarly works.
An agent-based tool that provides web search and advanced research capabilities including document analysis, image description, and YouTube transcript retrieval.
A Model Context Protocol server that enables AI models to programmatically search and interact with proteomics datasets from the PRIDE Archive repository through structured function calling.
An MCP server that enables access to clinical evidence from the CIViC database, allowing users to search across variants, diseases, drugs, and phenotypes to support precision oncology research.
A TypeScript-based MCP server that connects to FHIR servers, allowing access to healthcare data via fhir:// URIs and providing search capabilities for FHIR resources.
Provides advanced analytical, research, and natural language processing capabilities through a Model Context Protocol server, enabling dataset analysis, decision analysis, and enhanced NLP features like entity recognition and fact extraction.
Provides LLMs with structured access to critical biomedical databases including PubTator3 (PubMed/PMC), ClinicalTrials.gov, and MyVariant.info through the Model Context Protocol.
An MCP server for searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, and Sci-Hub, designed for seamless integration with large language models like Claude Desktop.
Extracts structured key-value pairs from arbitrary, noisy, or unstructured text using LLMs and provides output in multiple formats (JSON, YAML, TOML) with type safety.
A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.
Provides comprehensive stock screening capabilities through Yahoo Finance. Enables LLMs to screen stocks based on technical, fundamental, and options criteria, with support for watchlist management and result storage.
A Model Context Protocol server that enables AI assistants like Claude to track events, page views, user signups, set user properties, and track revenue in Amplitude analytics.
A server that enables AI assistants to interact with cancer genomics data from cBioPortal, allowing users to explore cancer studies, access genomic data, and retrieve mutations and clinical information.
An MCP server that provides AI assistants access to the Beeminder API, allowing them to help users track goals, manage datapoints, and interact with Beeminder's self-commitment tools through natural language.
A Model Context Protocol (MCP) server that provides access to ProPublica's Nonprofit Explorer API, enabling AI models to search and analyze nonprofit organizations' Form 990 data for CRM integration and prospect research.
Provides AI assistants with direct query access to the AACT (Aggregate Analysis of ClinicalTrials.gov) database, allowing structured retrieval and analysis of clinical trial data.
Provides access to the ClinicalTrials.gov AACT database, enabling analysis of clinical trial data, tracking development trends, and generating therapeutic landscape insights.
Enables calculation of European option prices and Greeks (like Delta, Vega, Theta) using the Black-Scholes model through a Model Context Protocol implementation.
Connects Claude AI to the Kaggle API through the Model Context Protocol, enabling competition, dataset, and kernel operations through the AI interface.
The server integrates with the free IMF data API and provides various features to facilitate data retrieval and analysis. The server is built using the FastMCP framework and offers the following functionalities:
MCP server that enables intelligent analysis of legal spend data across multiple sources (LegalTracker, databases, CSV/Excel files), providing features like spend summaries, vendor performance analysis, and budget comparisons.
Empowers AI agents with direct access to the official ClinicalTrials.gov database, enabling programmatic searching, retrieval, and analysis of clinical study data through a Model Context Protocol interface.
A server that enables MCP clients like Anthropic Claude App to interact with local Zotero libraries, allowing users to search papers, manage notes, and access research materials through natural language.
Provides search functionality for arXiv.org papers through the official arXiv API, allowing users to search papers by keywords, filter by subject categories and date ranges, and receive comprehensive metadata including PDF links.
Server to search PubMed (PubMed is a free, online database that allows users to search for biomedical and life sciences literature). I have created on a day MCP came out but was on vacation, I saw someone post similar server in your DB, but figured to post mine.
The MCP Trader Server conducts comprehensive technical analysis on stocks, offering insights into trends, momentum indicators, volatility metrics, and volume analysis to support stock trading decisions.
A Model Context Protocol server that provides access to property data, address verification, skip tracing, geocoding, and advanced property search capabilities through BatchData.io's APIs.
A Model Context Protocol server that enables conversational searching of NIH-funded research projects and publications through the NIH RePORTER database.
A specialized Model Context Protocol server that enhances AI-assisted medical learning by connecting Claude Desktop to PubMed, NCBI Bookshelf, and user documents for searching, retrieving, and analyzing medical education content.
A server that provides access to the tidymodels R ecosystem, enabling users to list packages, search functions, generate code templates, and search issues through AI assistants like Cline.bot and Claude Desktop.
Server for managing academic literature with structured note-taking and organization, designed for seamless interaction with Claude. Built with SQLite for simplicity and portability.
A bridge between AI assistants and ArXiv's research repository that enables searching, downloading, and reading academic papers through the Message Control Protocol.
Provides econometric modeling capabilities through R, enabling AI assistants to perform sophisticated analyses including linear regression, panel data models, instrumental variables regression, and diagnostic tests.
Suncture Healthcare MCP provides a set of specialized healthcare tools that can be integrated with AI models to enhance their capabilities in delivering accurate, reliable healthcare information and guidance.
A Model Context Protocol server that enables AI agents to search, retrieve, and analyze academic papers from arXiv, supporting features like keyword search, paper details retrieval, content extraction, and paper analysis.
A Model Calling Protocol server that enables LLMs to perform rigorous Bayesian analysis and probabilistic reasoning, including inference, model comparison, and predictive modeling with uncertainty quantification.
A Model Context Protocol server that provides intelligent stock data assistance through Tushare's financial data API, enabling users to query comprehensive stock information, financial data, and market indices through natural language.
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.
Analyzes PubMed medical literature to help researchers quickly gain insights into medical research dynamics, with features including literature retrieval, hotspot analysis, trend tracking, and comprehensive reports.
Enables search and retrieval of academic papers from PubMed database with advanced features like MeSH term lookup, publication statistics, and PICO-based evidence search.
An MCP server that provides access to Monarch Initiative's biomedical data through the Biolink API, enabling agents to query biological entities, associations, and knowledge graphs using natural language.
Provides tools for managing qualitative research knowledge graphs, enabling structured representation of research projects, participants, interviews, observations, codes, themes, and findings.
Provides tools for accessing the Semantic Scholar API to search papers, retrieve paper and author details, and fetch citations and references through the Model Context Protocol.
Allows users to search for academic conferences and events from WikiCFP by keywords, providing details such as event name, description, dates, location, and submission deadlines.
A Model Context Protocol server built with FastMCP that provides financial data tools for AI agents, enabling them to access and analyze stock market information from Yahoo Finance through natural language queries.
A Model Context Protocol server that provides tools for searching arXiv papers and managing research paper information with local storage capabilities.
Enables collection of patent-related information from PatSnap's API for trend analysis and reporting, providing tools for patent trends, word clouds, innovation wheels, and identification of top inventors, assignees, and litigated patents.
A Model Context Protocol server that provides access to Federal Reserve Economic Data (FRED), enabling users to retrieve, analyze, and compare economic indicators and time series data through natural language.
An MCP server implementation that enables searching and retrieving research articles from PubMed with specific focus on open access content filtering and full-text link retrieval.
A Python implementation of the Model Context Protocol (MCP) server that enables searching and extracting information from arXiv papers, designed to be extensible with additional MCP tools.
A comprehensive Model Context Protocol server that provides AI assistants with direct access to Semantic Scholar's academic database, enabling advanced paper discovery, citation analysis, author research, and AI-powered recommendations.
An MCP server that provides comprehensive market intelligence by analyzing data from both the Apple App Store and Google Play Store, enabling users to research apps, track market trends, study competitors, and understand user feedback across mobile marketplaces.
🔍 Enable AI assistants to search and access medRxiv papers through a simple MCP interface.
The medRxiv MCP Server provides a bridge between AI assistants and medRxiv's preprint repository through the Model Context Protocol (MCP). It allows AI models to search for health sciences preprints and acce
🔍 Enable AI assistants to search and access bioRxiv papers through a simple MCP interface.
The bioRxiv MCP Server provides a bridge between AI assistants and bioRxiv's preprint repository through the Model Context Protocol (MCP). It allows AI models to search for biology preprints and access their
AI-powered educational platform for analyzing Quranic words through etymology, frequency patterns, and cross-linguistic research, providing complete project context for AI-assisted development.
A Python-based server that enables accessing and analyzing bird detection data through the Model Context Protocol, offering features like filtering detections, accessing audio recordings, and generating reports.
Provides a tool for dynamic and reflective problem-solving by breaking complex problems into manageable steps with support for revision, branching, and hypothesis generation.
A Model Context Protocol server that provides access to materials databases through the OPTIMADE API, with focus on Google DeepMind's GNoME dataset containing millions of predicted crystal structures.
An MCP server that leverages graph structures to perform sophisticated scientific reasoning through an 8-stage processing pipeline, enabling AI systems to handle complex scientific queries with dynamic confidence scoring.
Provides access to UNHCR refugee statistics through a standardized interface, allowing AI agents to query data by country of origin, country of asylum, and year.
Enables users to preprocess, analyze, and visualize CSV data through comprehensive tools for data manipulation, statistical analysis, and graph generation.
Enables LLMs to perform statistical analysis and generate ML predictions on user data from databases or CSV files through a Model Context Protocol server.
A bridge that connects Dune Analytics blockchain data to AI applications through Model Control Protocol, allowing LLMs to access on-chain data via natural language interactions.
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.
A local, agentic AI pipeline that analyzes tabular data, detects anomalies, and generates interpretive summaries using local LLMs orchestrated via the Model Context Protocol.