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@@ -1883,7 +1883,7 @@ Tools for conducting research, surveys, interviews, and data collection.
- [nyxn-ai/NyxDocs](https://github.com/nyxn-ai/NyxDocs) 🐍 ☁️ 🏠 - Specialized MCP server for cryptocurrency project documentation management with multi-blockchain support (Ethereum, BSC, Polygon, Solana).
- [OctagonAI/octagon-deep-research-mcp](https://github.com/OctagonAI/octagon-deep-research-mcp) 🎖️ 📇 ☁️ 🏠 - Lightning-Fast, High-Accuracy Deep Research Agent
- [olostep/olostep-mcp-server](https://github.com/olostep/olostep-mcp-server) 📇 ☁️ - API to search, extract and structure web data. Web scraping, AI-powered answers with citations, batch processing (10k URLs), and autonomous site crawling.
- [omniologynow-rgb/scout-intel-mcp](https://github.com/omniologynow-rgb/scout-intel-mcp) 🐍 ☁️ - Web intelligence MCP server for AI agents. 7 tools for SERP analysis, competitor research, market trends, content gap analysis, keyword insights, audience discovery, and citation tracking. Install via `pip install scout-intel-mcp`.
- [omniologynow-rgb/scout-intel-mcp](https://github.com/omniologynow-rgb/scout-intel-mcp) [![scout-intel-mcp MCP server](https://glama.ai/mcp/servers/omniologynow-rgb/scout-intel-mcp/badges/score.svg)](https://glama.ai/mcp/servers/omniologynow-rgb/scout-intel-mcp) 🐍 ☁️ - Web intelligence MCP server for AI agents. 7 tools for SERP analysis, competitor research, market trends, content gap analysis, keyword insights, audience discovery, and citation tracking. Install via `pip install scout-intel-mcp`.
- [opendatalab/MinerU-Ecosystem](https://github.com/opendatalab/MinerU-Ecosystem/tree/main/mcp) [![opendatalab/MinerU-Ecosystem MCP server](https://glama.ai/mcp/servers/opendatalab/MinerU-Ecosystem/badges/score.svg)](https://glama.ai/mcp/servers/opendatalab/MinerU-Ecosystem) 🎖️ 🐍 🏠 ☁️ - Official MinerU document parsing MCP ([mineru-open-mcp](https://pypi.org/project/mineru-open-mcp/) on PyPI). Converts PDFs, doc/docx/ppt/pptx, images, and spreadsheets to Markdown via the [MinerU](https://mineru.net) API; free Flash mode without an API key (about 20 pages per file); optional `MINERU_API_TOKEN` for higher limits.
- [NameetP/pdfmux](https://github.com/NameetP/pdfmux) [![pdfmux MCP server](https://glama.ai/mcp/servers/NameetP/pdfmux/badges/score.svg)](https://glama.ai/mcp/servers/NameetP/pdfmux) 🐍 🏠 - PDF extraction router with built-in MCP server. Classifies each page (digital, scanned, tables) and routes to the best backend (PyMuPDF, Docling, OCR, or optional LLM fallback). Per-page confidence scoring flags low-quality pages and auto-reextracts them — prevents silent RAG failures. Zero config: `pip install pdfmux`. MIT licensed.
- [parallel-web/search-mcp](https://github.com/parallel-web/search-mcp) ☁️ 🔎 - Highest Accuracy Web Search for AI