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Deep Research
by Jessica Doering
Moderate5.2LocalNew
Perform comprehensive web research using Tavily's Search and Crawl APIs.
About
A server designed for comprehensive web research. It uses Tavily's Search and Crawl APIs to gather detailed information on a given topic, then structures this data in a format perfect for LLMs to create high-quality markdown documents.
The following options are configurable:
"env": { "TAVILY_API_KEY": "tvly-YOUR_ACTUAL_API_KEY_HERE", // Required "DOCUMENTATION_PROMPT": "Your custom, detailed instructions for the LLM on how to generate markdown documents from the research data...", // Optional - if not provided, the default prompt will be used "SEARCH_TIMEOUT": "120", // Optional - timeout in seconds for search requests (default: 60) "CRAWL_TIMEOUT": "300", // Optional - timeout in seconds for crawl requests (default: 180) "MAX_SEARCH_RESULTS": "10", // Optional - maximum search results to retrieve (default: 7) "CRAWL_MAX_DEPTH": "2", // Optional - maximum crawl depth (default: 1) "CRAWL_LIMIT": "15", // Optional - maximum URLs to crawl per source (default: 10) "FILE_WRITE_ENABLED": "true", // Optional - enable file writing capability (default: false) "ALLOWED_WRITE_PATHS": "/home/user/research,/home/user/documents", // Optional - comma-separated allowed directories (default: user home directory) "FILE_WRITE_LINE_LIMIT": "300" // Optional - maximum lines per file write operation (default: 200)
What You'll Need
Set these up before or after installing:
Getting Started
Once installed, try these example prompts and explore these capabilities:
- 1Example of a prompt and configuration for a tool call:
- 2{
- 3"name": "deep-research-tool",
- 4"arguments": {
- 5"query": "Explain the architecture of modern data lakes and data lakehouses.",
- 6"max_search_results": 5,
- 7"search_depth": "advanced",
- 8"topic": "general",
- 9"crawl_max_depth": 1,
- 10"crawl_extract_depth": "advanced",
- 11"include_answer": true,
- 12"documentation_prompt": "Generate a highly technical whitepaper. Start with an abstract, then introduction, detailed sections for data lakes, data lakehouses, comparison, use cases, and a future outlook. Use academic tone. Include all diagrams mentioned by URL if possible as [Diagram: URL].",
- 13"output_path": "C:/Users/username/Documents/research/datalakes-whitepaper"
- 14}
- 15}
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"deep-research": {
"env": {
"TAVILY_API_KEY": "your-tavily-api-key-here"
},
"args": [
"-y",
"@pinkpixel/deep-research-mcp"
],
"command": "npx"
}
}
}Security Report
5.2
Moderate5.2Moderate RiskThis is a well-structured MCP server for web research with proper authentication, appropriate permissions for its purpose, and good security practices. The file writing functionality is implemented with strong security controls including path validation and directory restrictions. Minor code quality issues exist but don't significantly impact security. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
Scanned 3 files · 8 findings
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
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