rival-search-mcplisted

Deterministic deep research via RivalSearchMCP. 9 tools: 5-engine web search (DuckDuckGo/Bing/Yahoo/Mojeek/Wikipedia), 9-platform social search (Reddit/HN/StackOverflow/Dev.to/Medium/ProductHunt/Bluesky/Lobste.rs/Lemmy), 5-source news (Google/Bing/Guardian/GDELT/DDG), 5 academic DBs (OpenAlex/CrossRef/arXiv/PubMed/EuropePMC), GitHub search, website mapping, content extraction with OCR, and research topic synthesis. No API keys required. Use when the user needs web research, competitive analysis, content discovery, or academic paper search.
damionrashford/RivalSearchMCP · ★ 93 · AI & Automation · score 85

Install: claude install-skill damionrashford/RivalSearchMCP

# RivalSearchMCP You have access to 9 research tools via the CLI at `scripts/cli.py`. Run all commands with `uv run scripts/cli.py`. Every tool returns deterministic, auditable output. There is no in-server LLM — you're the one doing the synthesis. ## How to invoke tools ```bash uv run scripts/cli.py call-tool <tool_name> --flag value ``` ## Available tools - `web_search` — concurrent search across DuckDuckGo, Bing, Yahoo, Mojeek, Wikipedia. Use for general web queries. - `social_search` — Reddit, Hacker News, Stack Overflow, Dev.to, Medium, Product Hunt, Bluesky, Lobste.rs, Lemmy. Use for community discussions. - `news_aggregation` — Google News, Bing News, The Guardian, GDELT, DuckDuckGo News. Use for current events. Accepts `--time-range day|week|month|anytime`. - `github_search` — search public GitHub repos. Use for code, libraries, projects. - `map_website` — crawl a site in `research` / `docs` / `map` mode. Use to explore site structure or documentation. - `content_operations` — one tool, six ops (`retrieve`, `stream`, `analyze`, `extract`, `score`, `find_conflicts`). Use to get full page content, rate source quality, or surface disagreements between sources. - `document_analysis` — extract text from PDFs, Word docs, images (image OCR via EasyOCR). Use for document processing. - `research_topic` — end-to-end research workflow for a topic, combining search, content retrieval, and analysis. - `scientific_research` — OpenAlex, CrossRef, arXiv, PubMed, Europe PMC (pap