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@lucid-fdn/skills-embedded

v1.4.5

Published

All lucid-plugins MCP server factories bundled for in-process embedding

Readme

@lucid-fdn/skills-embedded

All 18 Lucid Skills MCP server factories bundled for in-process embedding via InMemoryTransport. Zero network overhead — tool calls execute in ~1-5ms.

Install

npm install @lucid-fdn/skills-embedded @modelcontextprotocol/sdk

Quick Start

import {
  EmbeddedRegistry,
  createTradeServer,
  createPredictServer,
} from '@lucid-fdn/skills-embedded'

// 1. Create registry
const registry = new EmbeddedRegistry()

// 2. Register servers
registry.register(createTradeServer(), 'trade')
registry.register(createPredictServer(), 'predict')

// 3. Call tools (client connects lazily on first call)
const result = await registry.callTool('trade', 'analyze_market', {
  symbol: 'BTC',
})
console.log(result.content) // [{ type: 'text', text: '...' }]

// 4. Clean up when done
await registry.closeAll()

Available Servers

| Factory | Slug | Domain | |---------|------|--------| | createAuditServer() | audit | Smart contract security | | createBridgeServer() | bridge | Startup ops (Notion/Linear/Slack) | | createCompeteServer() | compete | Competitive intelligence | | createFeedbackServer() | feedback | Customer feedback / NPS | | createHypeServer() | hype | Growth hacking / social | | createInvoiceServer() | invoice | Billing / revenue | | createMeetServer() | meet | Meeting intelligence | | createMetricsServer() | metrics | Product analytics | | createObservabilityServer() | observability | Production monitoring | | createPredictServer() | predict | Prediction markets | | createProposeServer() | propose | RFP / proposal engine | | createProspectServer() | prospect | Sales prospecting | | createQuantumServer() | quantum | Bitcoin quantum search | | createRecruitServer() | recruit | ATS / hiring pipeline | | createSeoServer() | seo | SEO intelligence | | createTaxServer() | tax | Crypto tax compliance | | createTradeServer() | trade | Crypto trading | | createVeilleServer() | veille | Content monitoring | | createVideoServer() | video | Video generation |

API

EmbeddedRegistry

class EmbeddedRegistry {
  register(server: McpServer, name: string): void
  has(name: string): boolean
  size: number
  list(): Array<{ name: string; connected: boolean; connectedAt?: number }>
  callTool(server: string, tool: string, args?: Record<string, unknown>):
    Promise<{ content: unknown[]; isError: boolean }>
  closeAll(): Promise<void>
}

How It Works

Each createXxxServer() returns a bare McpServer from @modelcontextprotocol/sdk. The EmbeddedRegistry connects to it via InMemoryTransport — an in-process pipe with no serialization overhead. The MCP client is created lazily on the first tool call and reused for subsequent calls.

License

MIT