Install
$ agentstack add mcp-damionrashford-rivalsearch-plugin ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
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 →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
.mcp.json— Connects to RivalSearchMCP via MCP athttps://RivalSearchMCP.fastmcp.app/mcp. All 10 MCP tools available automatically.
skills/— Five agent skill files with step-by-step research workflows, exact MCP tool parameters, and structured output formats.
agents/— Six AI research agents with full Claude Code frontmatter (tools, agent skills, hooks, memory). Invoked automatically or manually.
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.
- Fork the project
- Create your feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Issues & Feedback
Links
- RivalSearchMCP — The MCP server powering this Claude Code plugin
- RivalSearchMCP Docs — Full documentation
- Claude Code — The CLI this plugin extends
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.
- Author: damionrashford
- Source: damionrashford/RivalSearch-Plugin
- License: MIT
- Homepage: https://github.com/damionrashford/RivalSearchMCP
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.