google-researcher-mcp

# Google Researcher MCP Server - LLM Context

> This file provides comprehensive context for AI assistants using this MCP server.

## Quick Reference

- **Primary Tool**: `search_and_scrape` - Use for most research tasks
- **Documentation**: https://github.com/zoharbabin/google-researcher-mcp
- **Full Context**: See llms-full.txt for detailed tool specifications

## Tool Selection Guide

| Task | Tool | Example |
|------|------|---------|
| Research any topic | `search_and_scrape` | `{"query": "climate change 2024", "num_results": 5}` |
| Multi-step investigation | `sequential_search` | Track progress across 3+ searches |
| Find academic papers | `academic_search` | Returns papers with APA/MLA/BibTeX citations |
| Patent research | `patent_search` | Prior art, FTO analysis, assignee/inventor search |
| Company patent portfolio | `scrape_page` | Use `patents.google.com/?assignee=CompanyName` for comprehensive results |
| Recent news | `google_news_search` | With freshness filtering (hour/day/week/month) |
| Images | `google_image_search` | Photos, diagrams, illustrations with size/type filters |
| Specific URL content | `scrape_page` | Web pages, YouTube transcripts, PDFs, DOCX, PPTX |

## Available Prompts

Use `prompts/get` to retrieve these research workflow templates:

1. **comprehensive-research** - Multi-source research with citations
2. **fact-check** - Verify claims with authoritative sources
3. **summarize-url** - Extract and summarize URL content
4. **news-briefing** - Current news summary on a topic
5. **patent-portfolio-analysis** - Analyze company patent holdings
6. **competitive-analysis** - Compare multiple entities
7. **literature-review** - Academic synthesis with citations
8. **technical-deep-dive** - In-depth technical investigation

## Output Quality Features

- **Quality Scoring**: Sources ranked by relevance (35%), freshness (20%), authority (25%), content quality (20%)
- **Citations**: All scraped content includes APA/MLA formatted citations
- **Deduplication**: Combined content automatically removes duplicates
- **Annotations**: Content tagged with audience, priority, timestamps

## Key Behaviors

- **Markdown First**: `scrape_page` requests `Accept: text/markdown` — sites supporting Cloudflare Markdown for Agents or llms.txt serve clean markdown (preserves code, headings, links)
- **Caching**: Results cached (30 min search, 1 hour scrape) - repeated queries are fast
- **SPA Support**: Automatically uses browser rendering for JavaScript sites (Google Patents, etc.)
- **Graceful Failures**: Partial results returned if some sources fail

## Resources (via `resources/read`)

| URI | Description |
|-----|-------------|
| `search://recent` | Last 20 search queries |
| `search://session/current` | Active sequential_search research session state |
| `stats://cache` | Cache hit rates and performance |
| `stats://events` | Event store statistics |
| `stats://resources` | Resource cache statistics |
| `config://server` | Server capabilities and limits |

## Best Practices for LLMs

1. **Start with search_and_scrape** for most research - it's optimized
2. **Use preview mode** on large pages before full fetch
3. **Check cache** - repeated queries are free
4. **Cite sources** - citations are provided in all responses
5. **For patents**: Use `scrape_page` on `patents.google.com/?assignee=X` for comprehensive results