Tools and integrations for collecting, analyzing, and managing research-focused data. Includes features to process structured and unstructured datasets.
Enables exploration and computation of mathematical integer sequences from OEIS using the LODA assembly language. Supports sequence discovery, program execution, algorithmic mining, and real-time computation of mathematical sequences.
Enables querying the WormBase database for C. elegans and nematode genomics data, including gene information, protein sequences, phenotypes, interactions, and expression patterns through natural language.
Provides prediction market intelligence, research, and strategy signals for platforms like Kalshi, Polymarket, and Robinhood. It enables AI assistants to perform market screening, arbitrage detection, and deep causal analysis to support informed trading decisions.
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 standardized access to biomedical knowledge bases and resources, enabling AI systems to retrieve verified information from sources like bioRxiv, EuropePMC, and various protein/gene databases.
Enables AI assistants to interact with CrowdCent's prediction challenges, allowing them to access challenges, download datasets, submit predictions, and monitor submissions through natural language commands.
A Node.js server implementing Model Context Protocol (MCP) that enables natural language interaction with Binalyze AIR's digital forensics and incident response capabilities.