Introduction: Why context windows are expensive and why static folder indexing fails to capture structural relationships (like function calls or imports).
The Solution: Introducing Graphify Companion.
How the Architecture Works: Detail the combination of Node.js for the MCP Server Transport and Python for AST/graph parsing.
Step-by-Step Setup:
Cloning the repo(https://github.com/sreekanthap89/Graphify-Companion1).
Running install.ps1 to configure Python .venv and Git Hooks.
Starting LM Studio's local server.
Copy-pasting the JSON configuration into LM Studio.
Prompting Guide: Teach readers how to write prompts that force the AI to use graph tools (query_graph vs. read_file).
Conclusion & Source: Invite readers to star the GitHub repository.
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