📋 Copy Blueprint Command { } Inspect JSON API Ground-Truth Source ↗

⚡ 1-Click Agent & Developer Install

Zero Auth · Ready for Grok Bot, Claude Code & Cursor

### 1. The Workflow Bottleneck & Problem Statement Critical architectural knowledge locked inside 60-minute video recordings cannot be searched or referenced by engineers or coding agents during an incident. ### 2. Synthesized Agent Architecture & Connected Stack **Technical Video Course & Conference Talk to Cited Engineering Wiki** (`youtube-course-to-searchable-runbook`) is a verified production blueprint curated from **@transcriptapi**'s real-world implementation. - **Primary Capability:** Ingests full conference playlists or internal training videos via TranscriptAPI, extracts code blocks and architectural diagrams, and builds a searchable Notion wiki. - **Connected Tool Stack:** TranscriptAPI MCP, Notion Official MCP, Qdrant MCP - **Execution Governance:** `Read-Only Discovery` → `Deterministic Policy Check` → `Ask-First Human Approval` - **Certified Builder Source:** [@transcriptapi](https://transcriptapi.com) ### 3. Step-by-Step Implementation Blueprint 1. **Trigger & Data Ingestion:** Configure your agent routine to watch **TranscriptAPI MCP** on a scheduled cadence or event webhook. Treat all external text as untrusted data inside XML fences. 2. **Cross-System Enrichment & Verification:** Query **Notion Official MCP** to validate live capacity, account status, or code state before generating recommendations. 3. **Human-in-the-Loop Action Staging:** Post a structured summary card to **Qdrant MCP** with 1-click approve/edit controls so your team retains full oversight. ### 4. Copy-Paste System Prompt & Routine Configuration ```text Implement the 'Technical Video Course & Conference Talk to Cited Engineering Wiki' workflow curated with @transcriptapi. 1. OBJECTIVE: Ingests full conference playlists or internal training videos via TranscriptAPI, extracts code blocks and architectural diagrams, and builds a searchable Notion wiki. 2. CONNECTED TOOL STACK: TranscriptAPI MCP, Notion Official MCP, Qdrant MCP 3. STEP-BY-STEP EXECUTION LOOP: - Step A (Ingest & Ground): Query live inputs from TranscriptAPI MCP and cross-reference state in Notion Official MCP. - Step B (Analyze & Validate): Apply strict filtering rules, verify schema/policy constraints, and flag any anomalies or missing fields. - Step C (Stage & Report): Prepare the structured output, draft replies/tickets in Qdrant MCP, and request human confirmation before executing any external send or production write. ``` ### 5. Measured ROI & Production Impact - **Verified Outcome:** Transforms hours of unsearchable video into timestamp-cited Markdown runbooks in seconds. - **Builder Portfolio:** [Explore all capabilities by @transcriptapi →](/u/transcriptapi)

Tags: #youtube-course-to-searchable-runbook#use-case#research#transcriptapi#transcriptapi-mcp#notion-official-mcp

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mcp · ⚡ 97

TranscriptAPI — Instant YouTube & Video Transcripts MCP Server

Give your AI agents accurate, timestamped transcripts, speaker turns, and chapter metadata from any YouTube video or public audio/video URL in milliseconds