RivalSearchMCP
Eliminates dependency on third-party search APIs and API keys while providing multi-source research across web, social, academic, and news channels.
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.
- Ask Claude to find competitor pricing strategies across five search engines and social platforms simultaneously.
- Generate market research reports by searching academic databases for industry trends and regulatory changes.
- Detect conflicting information about a company across news sources, social media, and research databases at once.
Eliminates dependency on third-party search APIs and API keys while providing multi-source research across web, social, academic, and news channels. Structured outputs enable reliable downstream agent workflows without hallucination risk.
Enterprise research teams and consultants requiring deterministic, self-hosted competitive intelligence and document analysis without external API costs.
https://github.com/damionrashford/RivalSearchMCP
By damionrashford
How to Get It
claude mcp add RivalSearchMCP -- npx -y RivalSearchMCP
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Find competitor pricing strategies across five search engines and social platforms simultaneously
Trust Signals Auto-scanned
Data & Access
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 115 GitHub stars; contributors unknown; last commit 1d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 115 GitHub stars; contributors unknown; last commit 1d ago; license MIT.