Results for “dripcel”

使用firecrawl和exa MCPs进行多源深度研究。搜索网络、综合发现并交付带有来源引用的报告。适用于用户希望对任何主题进行有证据和引用的彻底研究时。

Simplify molecular cheminformatics with a Pythonic wrapper around RDKit for SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, and parallel processing.

Conduct multi-source deep research using firecrawl and exa MCPs, synthesize findings, and deliver cited reports with source attribution.

Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.

Parses external reviews, enforces coverage and grounding, and drafts a text-only rebuttal under venue limits, managing follow-up rounds.