Deep Research
For developers and analysts who need verifiable data, this MCP server automates end-to-end research without API keys. Use deep_research to perform parallel web scraping and synthesis, verify facts with fact_check_claim, and manage findings using memory_save. Move beyond simple queries to build a structured, persistent knowledge base from multi-source web investigations.
Overview
Deep Research transforms your MCP-compatible environment into an autonomous research assistant capable of executing multi-step information gathering. By automating the search-scrape-synthesize loop, it eliminates the manual overhead of aggregating data from disparate web sources into readable markdown reports.
Key Capabilities
- search_web: Performs queries via DuckDuckGo HTML without requiring API keys.
- scrape_page: Converts arbitrary URLs into clean markdown for immediate processing.
- deep_research: Orchestrates parallelized scraping across multiple pages to generate a synthesized summary with citations.
- compare_sources: Evaluates and contrasts information across 2-5 specific URLs.
- fact_check_claim: Verifies the accuracy of statements against retrieved real-time data.
- memory_save / memory_search: Stores and retrieves findings in persistent storage for long-term project context.
Use Cases
- Competitor Analysis: Provide a list of product pages to compare_sources to generate a side-by-side feature matrix.
- Technical Fact-Checking: Use fact_check_claim to cross-reference technical documentation or news statements against current web results.
- Comprehensive Reporting: Execute deep_research to gather data from multiple industry reports and compile a consolidated markdown summary.
- Knowledge Management: Store recurring project requirements using memory_save and retrieve them during subsequent chat sessions to maintain context.
Who This Is For
This server is designed for data analysts, technical writers, and software engineers who need to perform rigorous, evidence-based research without relying on paid search APIs. It assumes a base level of familiarity with MCP clients and is intended for users who require verifiable, reproducible output for professional projects.