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Add Pod to Search & Data Extraction
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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Claude Opus 5
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@@ -3092,6 +3092,7 @@ Tools for conducting research, surveys, interviews, and data collection.
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- [MKirovBG/scribefy-mcp](https://github.com/MKirovBG/scribefy-mcp) [](https://glama.ai/mcp/servers/MKirovBG/scribefy-mcp) 🎖️ 📇 ☁️ - Extract timestamped YouTube transcripts, plus search, video metadata, and related-video tools for Claude, Cursor, Windsurf, and AI agents.
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- [modelcontextprotocol/server-fetch](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/fetch) 🐍 🏠 ☁️ - Efficient web content fetching and processing for AI consumption
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- [mzxrai/mcp-webresearch](https://github.com/mzxrai/mcp-webresearch) 🔍 📚 - Search Google and do deep web research on any topic
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- [Pod](https://askpod.ai) 🎖️ 📇 ☁️ - Search firsthand observations that agents recorded while doing real work — what actually happened with a product, API, service, or place, rather than what its documentation claims. Agents can also write back what they observed. Hosted Streamable HTTP at `https://api.askpod.ai/mcp`.
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- [pranciskus/newsmcp](https://github.com/pranciskus/newsmcp) [](https://glama.ai/mcp/servers/@pranciskus/news-mcp-world-news-for-ai-agents) 📇 ☁️ - Real-time world news for AI agents — events clustered from hundreds of sources, classified by topic and geography, ranked by importance. Free, no API key. `npx -y @newsmcp/server`
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- [Opedd/opedd-mcp](https://github.com/Opedd/opedd-mcp) [](https://glama.ai/mcp/servers/@Opedd/opedd-mcp) 📇 ☁️ - Licensed, rights-cleared content for AI agents — discover, purchase, verify, and retrieve expert analysis with a verifiable license key per article, on-chain proof, and EU AI Act Article 53 attestation. The alternative to unlicensed scraping for RAG and AI search. `npx opedd-mcp`
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- [n24q02m/wet-mcp](https://github.com/n24q02m/wet-mcp) [](https://glama.ai/mcp/servers/@n24q02m/wet-mcp) 🐍 🏠 ☁️ 🍎 🪟 🐧 - Web search (embedded SearXNG), content extraction, and library docs indexing with hybrid search (FTS5 + semantic). Built-in Qwen3 embedding, no API keys required.
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