YunCheol07/SKALA_MCP_Server_Test
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The Agent Builder MCP Server is designed to automate the creation of complex AI agent workflows by integrating with Claude Code and LangGraph/LangChain.
Tools
Functions exposed to the LLM to take actions
analyze_prompt
Analyzes the intent and functionality of prompts to extract necessary tools and capabilities.
recommend_nodes
Recommends node structures and connections based on analysis results.
optimize_workflow
Optimizes workflows according to speed, cost, and reliability goals.
get_available_tools
Provides a list of available tools for agent design.
get_node_patterns
Defines flow/node patterns such as sequential, parallel, conditional, and iterative.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client