Whether you're building in JavaScript, Python, or connecting through an AI framework — there's a native integration ready to go.
JavaScript / Node
npm install @neuralsnap/sdkPython
pip install neuralsnapMCP Server
Claude, Cursor, and any MCP clientREST API
Any platform, any languageCrewAI
Python multi-agent frameworkLlamaIndex
RAG and agent memoryStore knowledge, search semantically, and crystallize raw text — all with a clean, consistent API.
import NeuralSnap from '@neuralsnap/sdk';
const ns = new NeuralSnap({ apiKey: 'ns_...' });
// Store knowledge
await ns.snapshots.create({
name: "SOPs Beat Prompts",
type: "Conviction",
core: "Written procedures produce 10x better agent output",
confidence: 0.94,
});
// Search by meaning
const results = await ns.search("how to improve agent quality");
// Crystallize raw text into structured snapshots
const snapshots = await ns.crystallize({
text: "In our planning meeting we decided to...",
source_type: "meeting",
});Generate API keys from your dashboard. Each key scopes to your account and can be revoked instantly. Use Bearer token authentication on every request.
Fair usage rate limits with clear headers. Every response includes X-RateLimit-Remaining so you can throttle proactively. Higher limits on paid plans.
The NeuralSnap MCP server gives Claude, Cursor, and any MCP-compatible client direct access to your brain. Search knowledge, store memories, and crystallize text — all from within your AI tools.
// In your Claude/Cursor MCP config:
{
"mcpServers": {
"neuralsnap": {
"command": "npx",
"args": ["-y", "@neuralsnap/mcp-server"],
"env": {
"NEURALSNAP_API_KEY": "ns_..."
}
}
}
}
// Then in Claude:
// "Search my brain for what I know about scaling teams"
// → Returns relevant snapshots and memoriesOne API call to store what matters. One call to recall it. Your agents stop being goldfish and start building real knowledge.
Use NeuralSnap as a structured knowledge layer alongside your vector store. Better context = better answers.
Crystallize meeting transcripts, process documents, extract knowledge — all programmatically via REST.