RivalSearchMCP: Deterministic research MCP server on FastMCP 3 — 5-engine web search, 9-platform social search, 6 academic DBs

by damionrashford · MCP Server · ★ 134

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install RivalSearchMCP

git clone https://github.com/damionrashford/RivalSearchMCP.git
claude plugin install rival-search-mcp@rivalsearchmcp --scope user

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-skillsai-agentai-assistantclaude-codeclaude-code-skillsclaude-mcpcompetitor-analysiscursor-mcpdeterministic-toolsentity-research

Quick Facts

Stars134
Forks22
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score67/100
Open Issues12
Last Updated2026-10-24
Created2025-08-03
Platformsbrowser, claude-code, mcp, python
Est. Tokens~17k

About RivalSearchMCP

RivalSearchMCP Deterministic research MCP server — web + social + academic + news + code + docs, all in one place. No API keys, no in-server LLM, structured outputs for agent chaining. 🆓 100% Free & Open Source — No API keys or subscriptions for core tools. The hosted server includes fair-use rate limiting.

Compatible Skills

These tools work well together with RivalSearchMCP for enhanced workflows:

  • decodo-openclaw-skill — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • FBScrapeIdeas — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • google-ai-mode-skill — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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