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RivalSearchMCP

Connector Documents & Content Usable
Works inClaude Code Claude Cowork Claude Chat
Usable Scanned — metadata only

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.

115 starsMIT (commercial OK)FreeNo code needed
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

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.

Claude Code Claude Cowork Claude Chat

https://github.com/damionrashford/RivalSearchMCP

By damionrashford

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
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.

First thing to try

Once it’s connected, paste this into Claude:

Find competitor pricing strategies across five search engines and social platforms simultaneously
CostFree

Trust Signals Auto-scanned

Stars115Last updated2026-07-22LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-23 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

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.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 115 GitHub stars; contributors unknown; last commit 1d ago; license MIT.

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