Enables AI assistants to conduct academic research workflows such as paper discovery, literature mapping, citation chasing, author pivots, citation repair, and regulatory or species document retrieval.
Enables provenance-first scholarly retrieval, paper ingestion, and reproducible research workflows by searching academic and developer sources, extracting source-located facts and claims, and preserving evidence and provider uncertainty for MCP clients.
Enables AI-assisted scientific research workflow management through MCP, including project creation, ideation, experiment execution, and artifact handling, with integration for ChatGPT, Codex, and Claude Code.
MCP server for searching academic, patent, and web sources, normalizing identifiers, and managing workspace records. Exposes the same operations to AI clients via MCP tools.
Enables human-coordinated multi-agent workflows for Earth-observation research, Cube Chess 512 self-play benchmarking, and reversible visual QA through WebMCP tools with verification and approval gates.
Enables end-to-end research paper workflows from ideation to delivery, including paper reproduction, guided writing, export to LaTeX/PDF/DOCX, and scientific data queries across 41 public database connectors, all operable locally without API keys.