Zotero Chunk RAG
Enables passage-level semantic search over Zotero research libraries by extracting text from PDFs, chunking documents with overlap, and embedding them using Google's Gemini API for storage in ChromaDB. Provides tools for finding relevant papers by topic, searching specific passages with expandable context, and retrieving bibliographic metadata including BetterBibTeX citation keys. Designed for academic research workflows where users need to locate specific claims, verify citations, and gather supporting evidence from their personal paper collections with precise page-level attribution.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/ccam80/deep-zotero
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Zotero Chunk RAG from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.