RivalSearchMCP
RivalSearchMCP is an MCP server, listed under search. Its repository has 134 GitHub stars and is licensed under MIT; we last read it on 2026-10-23.
RivalSearchMCP is a deterministic research MCP server built on FastMCP 3, connecting to 5 web engines, 9 social platforms, 6 academic databases, and news aggregators. It provides structured outputs for agent chaining without requiring API keys or an in-server language model.
Install
Read from RivalSearchMCP’s own README, close to verbatim -- not written by us, and not guessed.
fastmcp run server.py
What it reaches, and what it needs
Maintenance
Deterministic research MCP server on FastMCP 3 — 5-engine web search, 9-platform social search, 6 academic DBs, news aggregation, entity profiles, conflict detection, document analysis. No API keys. No in-server LLM. Structured outputs for agent chaining.
What RivalSearchMCP can do
9 tools documented in its README. An AI client calls these by name.
web_search- concurrent multi-engine search across DuckDuckGo, Bing, Yahoo, Mojeek, and Wikipedia. Scrapling-backed TLS fingerprinting bypasses Cloudflare/Akamai fronting. Per-engine failures don't block the other
social_search- No description in the README.
news_aggregation- 5 sources: Google News, Bing News, The Guardian, GDELT, DuckDuckGo News. Accepts `time_range` (day/week/month/anytime).
github_search- repository search with built-in rate limiting (60/hr unauthenticated), optional README inclusion.
map_website- traverse a site in `research`, `docs`, or `map` mode; returns per-page quality scores and an aggregate confidence signal.
content_operations- one tool, six operations: `retrieve`, `stream`, `analyze`, `extract`, `score`, `find_conflicts`. `score` rates URLs on tier / freshness / corroboration / citations (0-100) and returns both markdown +
research_topic- two modes: `topic` (search + fetch + relevance-ranked key findings) and `entity` (unified cross-source profile of a named entity, fanning out to web / news / GitHub / social / academic in parallel).
document_analysis- extract text from PDF, Word, plain text, and images. Images use EasyOCR (lazy-loaded; no setup). 50 MB cap.
scientific_research- academic paper and dataset search. 5 paper providers (OpenAlex, CrossRef, arXiv, PubMed, Europe PMC) and 4 dataset hubs (Kaggle, HuggingFace, Dataverse, Zenodo).
Read from the README; names are kept only if the README contains them.
RivalSearchMCP compared with similar servers
| Server | Reaches | Needs | Stars | Last update | Licence |
|---|---|---|---|---|---|
| RivalSearchMCP (this page) | — | None listed | 134 | 2026-10-23 | MIT |
| anysearch-mcp-server | anysearch | ANYSEARCH_API_KEY | 2,052 | 2026-09-17 | Apache-2.0 |
| duckduckgo-mcp-server | — | None listed | 1,550 | 2026-09-04 | MIT |
| web-search-mcp | — | None listed | 1,182 | 2025-08-08 | MIT |
| mcp-omnisearch | exa, github, tavily | EXA_API_KEY, TAVILY_API_KEY | 357 | 2026-10-23 | MIT |
| search1api-mcp | search1api | SEARCH1API_KEY | 173 | 2026-10-24 | NOASSERTION |
Ranked by services in common with RivalSearchMCP, then by stars. Figures are from each repository when we last read it.
Common questions about RivalSearchMCP
- What does RivalSearchMCP do?
- RivalSearchMCP is a deterministic research MCP server built on FastMCP 3, connecting to 5 web engines, 9 social platforms, 6 academic databases, and news aggregators. It provides structured outputs for agent chaining without requiring API keys or an in-server language model.
- How do I install RivalSearchMCP?
- Its own README gives this command: fastmcp run server.py. Run it where your MCP client can launch the server, and check the README for any settings it asks for.
- Is RivalSearchMCP official and is it maintained?
- We found nothing naming it as a vendor’s official server. Its repository has 134 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-23.
- What licence does RivalSearchMCP use?
- The repository declares the MIT licence.
More MCP servers for search
- anysearch-mcp-server2,052 stars
- duckduckgo-mcp-server1,550 stars
- web-search-mcp1,182 stars
- mcp-omnisearch357 stars
- search1api-mcp173 stars
- ReActMCP143 stars