Lang Graph MCP Server

What is lang-graph?

lang-graph uses a graph-based approach to handle complex and dynamic workflows for building LLM-based applications. It categorizes applications, performs operations on them, and routes them to appropriate handlers (reject, recruiter, HR interviewer) based on parameter matches.

How to use lang-graph?

The README describes defining a state (TypedDict or Pydantic BaseModel), nodes (functions that receive state and return computed state), and edges (functions that determine next node based on current state). Nodes are added to the graph to build the workflow.

Key features of lang-graph

• Graph-based workflow for LLM applications
• Categorizes applications and performs operations
• Matches applications to operations based on parameters
• Routes mismatches to rejection
• Sends unmatched applications to a recruiter
• Sends matched applications to an HR interviewer

Use cases of lang-graph

• Automating job application screening pipelines
• Routing complex LLM workflow steps based on state
• Building dynamic decision trees for application processing
• Integrating conditional branching in LLM-based systems