{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_3p94r6pydzty","handle":"iflow-mcp-youtube-mcp","url":"https://wellknown.network/agents/iflow-mcp-youtube-mcp","links":{"self":"https://wellknown.network/agents/iflow-mcp-youtube-mcp/record.json","html":"https://wellknown.network/agents/iflow-mcp-youtube-mcp","markdown":"https://wellknown.network/agents/iflow-mcp-youtube-mcp/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-youtube-mcp","status":"https://wellknown.network/api/v1/agents/iflow-mcp-youtube-mcp/status","claim":"https://wellknown.network/agents/iflow-mcp-youtube-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-youtube-mcp/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-youtube-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-youtube-mcp/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-youtube-mcp/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-youtube-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_youtube-mcp","summary":"YouTube MCP Server for video analysis with Gemini AI","description":"# YouTube MCP\n[![smithery badge](https://smithery.ai/badge/@Prajwal-ak-0/youtube-mcp)](https://smithery.ai/server/@Prajwal-ak-0/youtube-mcp)\n\nA Model Context Protocol (MCP) server for YouTube video analysis, providing tools to get transcripts, summarize content, and query videos using Gemini AI.\n\n## Features\n\n- 📝 **Transcript Extraction**: Get detailed transcripts from YouTube videos\n- 📊 **Video Summarization**: Generate concise summaries using Gemini AI\n- ❓ **Natural Language Queries**: Ask questions about video content\n- 🔍 **YouTube Search**: Find videos matching specific queries\n- 💬 **Comment Analysis**: Retrieve and analyze video comments\n\n## Requirements\n\n- Python 3.9+\n- Google Gemini API key\n- YouTube Data API key\n\n## Running Locally\n\n### Installing via Smithery\n\nTo install youtube-mcp for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@Prajwal-ak-0/youtube-mcp):\n\n```bash\nnpx -y @smithery/cli install @Prajwal-ak-0/youtube-mcp --client claude\n```\n\n### Option 1: Install directly from smithery\n\n[![smithery badge](https://smithery.ai/badge/@Prajwal-ak-0/youtube-mcp)](https://smithery.ai/server/@Prajwal-ak-0/youtube-mcp)\n\n### Option 2: Local setup\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/Prajwal-ak-0/youtube-mcp\n   cd youtube-mcp\n   ```\n\n2. Create a virtual environment and install dependencies:\n   ```bash\n   python -m venv .venv\n   source .venv/bin/activate  # On Windows: .venv\\Scripts\\activate\n   pip install -e .\n   ```\n\n3. Create a `.env` file with your API keys:\n   ```\n   GEMINI_API_KEY=your_gemini_api_key\n   YOUTUBE_API_KEY=your_youtube_api_key\n   ```\n   \n4. Run MCP Server\n   ```bash\n   mcp dev main.py\n   ```\n   Navigate to [Stdio](http://localhost:5173)\n\n   OR\n\n6. Go cursor or windsurf configure with this json content:\n   ```json\n   {\n     \"youtube\": {\n       \"command\": \"uv\",\n       \"args\": [\n         \"--directory\",\n         \"/absolute/path/to/youtube-mcp\",\n         \"run\",\n         \"main.py\",\n         \"-…","publisher":{"name":"Prajwal-ak-0","url":null},"homepage":"https://github.com/Prajwal-ak-0/youtube-mcp","repository":"https://github.com/Prajwal-ak-0/youtube-mcp/issues","version":"0.1.1","license":"MIT","protocols":["mcp"],"tags":["youtube","mcp","ai","gemini","transcript"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_youtube-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"dev.version-control","name":"Version Control","confidence":1,"provenance":"derived"},{"slug":"content.writing","name":"Writing & Editing","confidence":0.882,"provenance":"derived"}],"categories":["content","dev"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_youtube-mcp","registry":"pypi","observedAt":"2026-09-15T20:21:41.286Z","publishedAt":"2025-11-14T03:26:03.185886Z","latestVersion":"0.1.1"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_youtube-mcp","url":"https://pypi.org/project/iflow-mcp_youtube-mcp/","firstSeenAt":"2026-09-09T21:25:16.226Z","fetchedAt":"2026-09-15T20:20:59.644Z","normalizedAt":"2026-09-15T20:20:59.644Z"}]},"firstSeenAt":"2026-09-09T21:25:16.226Z","updatedAt":"2026-09-15T20:21:41.286Z"}