An MCP server that evaluates whether retrieval methods and AI outputs are grounded in long narrative manuscripts by retrieving evidence and scoring coverage deterministically, without external model APIs. It provides tools for chunking, indexing, retrieval, and evaluation.
MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.
MCP server for agentic systematic literature reviews with citation verification. Enables AI assistants to list reviews, get drafts, retrieve citation audits, and manage discovered papers.
An MCP server that provides tools for deterministic EU AI Act risk classification and documentation generation, enabling human-in-the-loop AI system assessments inside Claude Code.
An MCP server that reproduces the results of Nikitin et al., 'Towards Explainable Computational Toxicology: Linking Antitargets to Rodent Acute Toxicity' as callable tools, enabling users to compute toxicity predictions and mechanistic analyses deterministically from a bundled dataset.