Exposes precomputed asset research and rubric summaries for analyst agents, enabling lookup of asset summaries and full research reports via simple 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 access arXiv research papers through a simple Message Control Protocol interface, allowing for paper search, download, listing, and reading capabilities.
Provides AI assistants with natural language access to WRDS financial data for credit and equity analysis through 29 specialized tools. It enables users to query bond history, credit ratings, financial metrics, and syndicated loans using simple conversational prompts.
π 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
Enables searching and retrieving academic article metadata from PubMed through a simple HTTP interface. Provides curated article summaries including titles, authors, publication dates, and DOIs for research and academic content discovery.
An MCP server for first-order logic theorem proving supporting multiple provers like Vampire, E, and Prover9, with built-in simple prover, session management, and TPTP export.
This project is a Google Analytics 4 (GA4) automation server implemented as a Model Context Protocol (MCP) tool. It lets AI agents query GA4 data (reports, traffic sources, demographics, etc.) and also includes a simple connection test script.
Generates fixed-length test data records with customizable field types including strings, enums, integers, dates, and fillers. Helps developers create realistic test datasets with specified formats and constraints.
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.
π 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