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MCP verified MIT Self-run

RivalSearch Plugin

mcp-damionrashford-rivalsearch-plugin · by damionrashford

Claude Code Plugin with AI research agent skills powered by MCP. 10 MCP tools, 5 agent skills, 6 AI research agents via RivalSearchMCP. Zero API keys.

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Install

$ agentstack add mcp-damionrashford-rivalsearch-plugin

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/mcp-damionrashford-rivalsearch-plugin)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
7mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Rival Search Plugin

A Claude Code plugin with AI research agent skills powered by MCP.

> No API keys, no subscriptions, no configuration. Install and start researching.

Powered by RivalSearchMCP — 10 MCP research tools across web, social, news, GitHub, academic, and document sources.


What This Claude Code Plugin Does

This Claude Code plugin gives Claude a complete AI research platform — 10 MCP tools, 5 agent skills, and 6 specialist agents that work together to handle any research task.

  • 10 MCP tools via RivalSearchMCP — web search, social media, news, GitHub, academic papers, document analysis, and more
  • 5 agent skills — slash commands that run multi-step research workflows and produce structured reports
  • 6 AI research agents — specialist analysts that Claude invokes automatically based on your task
  • Portable hooks — audit logging and quality gates that travel with the plugin

Example Queries

Once this Claude Code plugin is installed, try these agent skills:

"Research the current state of AI code generation tools"
/rival-search:competitive-intel Cursor
/rival-search:fact-check "OpenAI revenue exceeded $2 billion in 2024"
/rival-search:due-diligence Anthropic
/rival-search:trend-intel AI agents for software development

Getting Started

Claude Code Marketplace (Recommended)

/plugin marketplace add damionrashford/rival-search
/plugin install rival-search@damionrashford-rival-search

Local Directory

git clone https://github.com/damionrashford/rival-search.git
claude --plugin-dir ./rival-search

This Claude Code plugin auto-connects to the hosted RivalSearchMCP MCP server. All 10 tools work immediately — no setup, no API keys.


MCP Research Tools

All 10 MCP tools are provided by RivalSearchMCP — zero authentication required.

| Tool | What It Does | |------|-------------| | web_search | Multi-engine search across DuckDuckGo, Yahoo, and Wikipedia | | social_search | Search Reddit, Hacker News, Dev.to, Product Hunt, Medium | | news_aggregation | Aggregate news from Google News, DuckDuckGo News, Yahoo News | | github_search | Search GitHub repositories with rate limiting | | map_website | Intelligent website exploration and mapping | | content_operations | Retrieve, analyze, and extract content from any URL | | document_analysis | Extract text from PDFs, Word docs, and images with OCR | | scientific_research | Academic papers (arXiv, Semantic Scholar) and datasets (Kaggle, HuggingFace) | | research_topic | End-to-end research workflow for quick topic analysis | | research_agent | AI agent with autonomous multi-tool research |


Agent Skills

This Claude Code plugin includes 5 agent skills — slash commands that orchestrate MCP tools into multi-step research workflows with structured reports and citations.

| Agent Skill | Description | |-------------|-------------| | /rival-search:research | Comprehensive research with academic depth — papers, datasets, implementations | | /rival-search:competitive-intel | Company, product, market, or website intelligence with SWOT analysis | | /rival-search:due-diligence | Full due diligence with risk assessment — works for companies and individuals | | /rival-search:trend-intel | News digest + trend trajectory with velocity indicators and maturity assessment | | /rival-search:fact-check | Cross-source claim verification with confidence scoring and evidence chains |


AI Research Agents

This Claude Code plugin includes 6 AI research agents. Each agent has a defined methodology, quality gates, and preloaded agent skills.

| Agent | Specialty | |-------|-----------| | research-analyst | Lead researcher — deep multi-source investigation | | competitive-intel | SWOT analysis, competitor profiling, market positioning | | fact-checker | Cross-source claim verification, confidence scoring | | trend-analyst | Trend identification, velocity tracking, trajectory projection | | content-strategist | Content gap analysis, audience research, brief creation | | due-diligence | Company/person investigation, risk assessment, red/green flags |


How This Claude Code Plugin Works

  1. .mcp.json — Connects to RivalSearchMCP via MCP at https://RivalSearchMCP.fastmcp.app/mcp. All 10 MCP tools available automatically.
  1. skills/ — Five agent skill files with step-by-step research workflows, exact MCP tool parameters, and structured output formats.
  1. agents/ — Six AI research agents with full Claude Code frontmatter (tools, agent skills, hooks, memory). Invoked automatically or manually.
  1. hooks/hooks.json — Portable event hooks for audit logging and output quality validation.

Structure

rival-search-plugin/
├── .claude-plugin/
│   ├── plugin.json            # Claude Code plugin manifest
│   └── marketplace.json       # Marketplace config
├── .mcp.json                  # MCP server → RivalSearchMCP.fastmcp.app/mcp
├── agents/
│   ├── research-analyst.md
│   ├── competitive-intel.md
│   ├── fact-checker.md
│   ├── trend-analyst.md
│   ├── content-strategist.md
│   └── due-diligence.md
├── skills/
│   ├── research/
│   ├── competitive-intel/
│   ├── due-diligence/
│   ├── trend-intel/
│   └── fact-check/
├── hooks/
│   └── hooks.json
├── CLAUDE.md
├── LICENSE
└── README.md

FAQ

Does this Claude Code plugin require payment?

No. MIT licensed, powered by RivalSearchMCP. No API keys, no subscriptions, no hidden costs.

Do I need API keys?

No. Install and go. This Claude Code plugin auto-connects to the hosted RivalSearchMCP MCP server.

What's the difference between agent skills and agents?

Agent skills are slash commands you invoke explicitly (/rival-search:research ). Agents are invoked automatically by Claude when your task matches their expertise.

Can I use MCP tools directly without agent skills?

Yes. Agent skills are guided workflows, but you can ask Claude to use any RivalSearchMCP MCP tool directly.


Contributing

Contributions welcome — new agent skills, AI research agent improvements, or bug fixes.

  1. Fork the project
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

Issues & Feedback

Open an Issue

Links

License

MIT — see [LICENSE](LICENSE) for details.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.