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
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 (papers) + Kaggle, HuggingFace, Dataverse, Zenodo (datasets).
When to chain tools
- Found a URL from search? →
content_operations --operation retrieve --url <url>
- Want to assess source trust before using results? →
content_operations --operation score --urls '[…]'
- Two sources seem to disagree? →
content_operations --operation find_conflicts --urls '[…]'
- Found a PDF link? →
document_analysis --url <url>
- Need to explore a website? →
map_website --url <url> --mode docs
- Need a unified entity profile in one shot? →
research_topic --mode entity --topic "OpenAI"
Tool reference
For full flags, types, and defaults for each tool, read:
- resources/search.md — web_search, social_search, news_aggregation, github_search, map_website
- resources/content.md — content_operations, document_analysis
- resources/research.md — research_topic, scientific_research
Output
All tools return structured text to stdout. Errors go to stderr. Exit codes: 0 success, 1 tool error, 2 connection failed.
Source: damionrashford/RivalSearchMCP — distributed by TomeVault.
1---2name: damionrashford-rivalsearchmcp-rivalsearchmcp3description: RivalSearchMCP4---56# RivalSearchMCP78You have access to 9 research tools via the CLI at `scripts/cli.py`. Run all commands with `uv run scripts/cli.py`.910Every tool returns deterministic, auditable output. There is no in-server LLM — you're the one doing the synthesis.1112## How to invoke tools1314```bash15uv run scripts/cli.py call-tool <tool_name> --flag value16```1718## Available tools1920- `web_search` — concurrent search across DuckDuckGo, Bing, Yahoo, Mojeek, Wikipedia. Use for general web queries.21- `social_search` — Reddit, Hacker News, Stack Overflow, Dev.to, Medium, Product Hunt, Bluesky, Lobste.rs, Lemmy. Use for community discussions.22- `news_aggregation` — Google News, Bing News, The Guardian, GDELT, DuckDuckGo News. Use for current events. Accepts `--time-range day|week|month|anytime`.23- `github_search` — search public GitHub repos. Use for code, libraries, projects.24- `map_website` — crawl a site in `research` / `docs` / `map` mode. Use to explore site structure or documentation.25- `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.26- `document_analysis` — extract text from PDFs, Word docs, images (image OCR via EasyOCR). Use for document processing.27- `research_topic` — end-to-end research workflow for a topic, combining search, content retrieval, and analysis.28- `scientific_research` — OpenAlex, CrossRef, arXiv, PubMed, Europe PMC (papers) + Kaggle, HuggingFace, Dataverse, Zenodo (datasets).2930## When to chain tools3132- Found a URL from search? → `content_operations --operation retrieve --url <url>`33- Want to assess source trust before using results? → `content_operations --operation score --urls '[…]'`34- Two sources seem to disagree? → `content_operations --operation find_conflicts --urls '[…]'`35- Found a PDF link? → `document_analysis --url <url>`36- Need to explore a website? → `map_website --url <url> --mode docs`37- Need a unified entity profile in one shot? → `research_topic --mode entity --topic "OpenAI"`3839## Tool reference4041For full flags, types, and defaults for each tool, read:4243- [resources/search.md](resources/search.md) — web_search, social_search, news_aggregation, github_search, map_website44- [resources/content.md](resources/content.md) — content_operations, document_analysis45- [resources/research.md](resources/research.md) — research_topic, scientific_research4647## Output4849All tools return structured text to stdout. Errors go to stderr. Exit codes: 0 success, 1 tool error, 2 connection failed.5051---52> Source: [damionrashford/RivalSearchMCP](https://github.com/damionrashford/RivalSearchMCP) — distributed by [TomeVault](https://tomevault.io).53<!-- tomevault:4.0:skill_md:2026-06-19 -->