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Build a Deep Research AI Agent: The LangGraph & MCP Blueprint

Elijah Tobs
Tech
May 30, 2026 • 9:23 PM
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Build a Deep Research AI Agent: The LangGraph & MCP Blueprint
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The Core Insight

This guide details the architectural design and implementation of a stateful Deep Research Assistant using LangGraph and the Model Context Protocol (MCP). By leveraging a dual-server MCP client, connecting to custom vector storage and the Firecrawl web-scraping server, the system enables modular, user-guided research workflows. The article emphasizes a graph-based approach to agentic orchestration, allowing for conditional logic, persistent memory, and dynamic tool invocation via meta-commands.
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Elijah Tobs
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Lead Tech Editor

Elijah Tobs

Elijah is a software engineer and technology editor with a passion for emerging tech, artificial intelligence, and consumer electronics.

About the AuthorElijah Tobs
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#rag#ai agents#firecrawl#mcp#python#software architecture#langgraph
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