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Neocortica Scholar

A component of the Neocortica project that provides academic paper discovery and analysis tools. Enriches Google Scholar results with metadata from arXiv, Semantic Scholar, and Unpaywall, fetches full paper text as markdown through multiple fallback sources including arxiv2md and MinerU PDF conversion, and enables reference graph exploration. Includes an AI-powered three-pass paper reading tool implementing the Keshav method for systematic paper comprehension.

Cognium trust score
50%
Tier
Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
file-system
Source
PulseMCP
Author type
human
Updated
2026-04-25
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Use via MCP

MCP

Resolve Neocortica Scholar 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
Swap --scope user for --scope project to commit it to .mcp.json.

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