DeepResearch MCP

Example Use Cases

• 1

  Conduct iterative, multi-step web research and synthesize findings into a single structured report with citations.

• 2

  Extract and organize web content reliably (via Firecrawl) and reduce token usage while preserving key information for analysis.

• 3

  Provide on-demand research to users or other agents (e.g., via Claude Desktop) including executive summaries, methodology, and a complete bibliography.

Description

DeepResearch MCP automates multi-step research workflows: it generates targeted search queries, scrapes and extracts web content, synthesizes findings with OpenAI, and produces comprehensive reports with executive summaries and bibliographies. It manages token limits, preserves important information, and recovers from errors to produce partial results when full processing isn't possible. The server integrates with MCP clients and can be used directly or via Claude Desktop for on-demand research.