neurolink: The pipe layer of an AI nervous system — one interface connecting provider neurons to your application, across

by juspay · MCP Server · ★ 157

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install neurolink

npm install @juspay/neurolink
pnpm add @juspay/neurolink

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 61/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentsaiai-sdkanthropicautomationdecision-modeldeveloper-toolsjevllmlocal-first

Quick Facts

Stars157
Forks133
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score61/100
Open Issues42
Last Updated2026-10-22
Created2025-05-31
Platformsmcp, node
Est. Tokens~26k

About neurolink

NeuroLink The pipe layer for the AI nervous system. AI intelligence flows as streams — tokens, tool calls, memory, voice, documents. NeuroLink is the vascular layer that carries these streams from where they are generated (LLM providers: the neurons) to where they are needed (connectors: the organs).

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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