// Guide for using the NeuroLink SDK and CLI. Invoke when users ask how to use neurolink, integrate AI providers, add MCP tools, configure RAG, set up memory, deploy servers, or work with multimodal content. Covers SDK, CLI, providers, tools, and enterprise features.
| name | neurolink-guide |
| description | Guide for using the NeuroLink SDK and CLI. Invoke when users ask how to use neurolink, integrate AI providers, add MCP tools, configure RAG, set up memory, deploy servers, or work with multimodal content. Covers SDK, CLI, providers, tools, and enterprise features. |
| argument-hint | ["topic"] |
| allowed-tools | Read, Grep, Glob |
NeuroLink is an enterprise AI development platform providing unified access to 21+ AI providers (text, voice, multimodal) through a single API. It ships as both a TypeScript SDK (@juspay/neurolink) and a professional CLI.
Based on your query, I'll guide you to the right documentation:
If the user asked about $ARGUMENTS:
| Topic Keywords | Reference File |
|---|---|
| install, setup, start, begin, quickstart | sdk-quickstart.md |
| provider, openai, anthropic, vertex, bedrock, azure, gemini, claude, model | providers.md |
| image, pdf, csv, excel, document, file, multimodal, vision | multimodal.md |
| tool, mcp, server, GitHub, external, function | tools-mcp.md |
| rag, retrieval, chunk, vector, embed, document search | rag-integration.md |
| memory, conversation, history, session, redis, context | memory-conversations.md |
| cli, command, terminal, generate, stream, loop, serve | cli-reference.md |
| hitl, workflow, agent, observe, telemetry, deploy, server | advanced-features.md |
| error, issue, problem, fix, debug, not working | troubleshooting.md |
npm install @juspay/neurolink
# or
pnpm add @juspay/neurolink
# or
yarn add @juspay/neurolink
import { NeuroLink } from "@juspay/neurolink";
const neurolink = new NeuroLink();
// Generate text
const result = await neurolink.generate("Explain quantum computing");
console.log(result.content);
// Stream response
const stream = await neurolink.stream({ input: { text: "Write a story" } });
for await (const chunk of stream.stream) {
if ("content" in chunk) {
process.stdout.write(chunk.content);
}
}
| Feature | Description |
|---|---|
| 13+ Providers | OpenAI, Anthropic, Vertex, Bedrock, Azure, Mistral, Ollama, etc. |
| Multimodal | Images, PDFs, CSV, Excel, Word, 50+ file types |
| MCP Tools | 58+ tools via Model Context Protocol |
| RAG | Built-in chunking, embedding, vector search |
| Memory | Conversation history with Redis support |
| Streaming | Real-time token streaming |
| HITL | Human-in-the-loop approval workflows |
| Observability | Langfuse, OpenTelemetry integration |
Ready-to-use examples in templates/:
templates/basic-setup.ts - Basic SDK initializationtemplates/streaming.ts - Streaming responsestemplates/with-tools.ts - Tool integrationtemplates/rag-pipeline.ts - RAG usagetemplates/server-deploy.ts - HTTP server deployment# Generate content
neurolink generate "Your prompt"
# Stream output
neurolink stream "Write a story"
# Interactive mode
neurolink loop
# Start HTTP server
neurolink serve --port 3000
# Setup providers
neurolink setup openai
Set up your provider credentials:
# OpenAI
OPENAI_API_KEY=sk-...
# Anthropic
ANTHROPIC_API_KEY=sk-ant-...
# Google AI Studio
GOOGLE_API_KEY=...
# Vertex AI
VERTEX_PROJECT_ID=...
GOOGLE_APPLICATION_CREDENTIALS=/path/to/credentials.json
# AWS Bedrock
AWS_ACCESS_KEY_ID=...
AWS_SECRET_ACCESS_KEY=...
AWS_REGION=us-east-1
import type {
GenerateOptions,
GenerateResult,
StreamOptions,
StreamResult,
ChatMessage,
ToolInfo,
MCPServerInfo,
RAGConfig,
ProviderStatus,
} from "@juspay/neurolink";
templates/Instructions for Claude: Based on the user's query about $ARGUMENTS, read the appropriate reference file and provide specific guidance. If no topic is specified, give a general overview of NeuroLink capabilities and ask what they'd like help with.