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@juspay/neurolink

v12.14.16
npm

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TypeScript AI SDK with 24+ LLM providers behind one consistent API. MCP-native (connect any MCP server), voice TTS/STT/realtime, RAG, agents, memory, context compaction. OpenAI · Anthropic · Gemini · Bedrock · Azure · Ollama · DeepSeek · NVIDIA NIM and mo

maintainer
balaganesh_juspay
licence
MIT
first seen
2026-05-22
last seen
2026-09-17
releases · 30d
343
short id
risk insufficient evidence

Insufficient evidence to grade. This server's source has not been statically analyzed, so a low grade would only mean "nothing found", not "nothing there". We don't show a reassuring grade we can't stand behind. Attested signals (CVEs, provenance) below still apply.

Once the source is analyzed (see the analysis flag in the header), a graded score appears here. How analysis works: methodology.

risk trajectory 6 movements
  • C · 45 B · 33
  • C · 53 C · 45
  • D · 68 C · 53
  • D · 70 D · 68
  • D · 62 D · 70
  • D · 72 D · 62
capability exposure grade factor +35
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 5 findings · grade factor +12
  1. high dangerous code

    committed secret: Anthropic key · dynamic exec: new Function() · obfuscated payload: dynamic require()/import()

  2. medium dangerous code

    env-secret-flows-to-network-js: A process environment value reaches a network call. Review whether it is a credential leaving the process; the ordinary API-wrapper shape (read a ke

  3. medium dangerous code

    env-secret-flows-to-network-js: A process environment value reaches a network call. Review whether it is a credential leaving the process; the ordinary API-wrapper shape (read a ke

  4. medium dangerous code

    env-secret-flows-to-network-js: A process environment value reaches a network call. Review whether it is a credential leaving the process; the ordinary API-wrapper shape (read a ke

  5. medium dangerous code

    env-secret-flows-to-network-js: A process environment value reaches a network call. Review whether it is a credential leaving the process; the ordinary API-wrapper shape (read a ke

skills & danger signals npm-tarball
prompt-surface shipped agent-instruction files + hidden-content / dangerous-code findings — quoted from the analyzed source

analyzed v12.14.16 · analyzer v33 · 18m ago

danger signals9

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/npm:@juspay/neurolink/badge.svg)](https://mcpobservatory.com/servers/npm:@juspay/neurolink/security)

Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of balaganesh_juspay.