angrysky56/NeoCoder-neo4j-ai-workflow

An MCP server allowing AI assistants to use a Neo4j knowledge graph as their primary, dynamic instruction manual and long term project memory with adaptive templating and autonomous tool development tools.

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Emerging

This project helps AI assistants use a Neo4j knowledge graph as a dynamic, intelligent instruction manual and long-term memory for complex tasks like coding, research analysis, and decision support. You provide documents, code, or conversations, and the AI processes them into interconnected knowledge, then uses this structured information for various workflows. This is for professionals who want to empower their AI assistants to perform detailed, citation-backed knowledge work and automate complex, multi-step processes.

Use this if you need your AI assistant to manage complex information, reason across structured and unstructured data, and follow detailed, verifiable workflows for tasks like code generation, research summarization, or strategic planning.

Not ideal if you are looking for a simple chatbot or a basic RAG solution for quick Q&A without the need for sophisticated knowledge graph reasoning or automated workflow orchestration.

knowledge-management research-analysis ai-workflow-automation decision-support semantic-search
No Package No Dependents
Maintenance 6 / 25
Adoption 6 / 25
Maturity 15 / 25
Community 16 / 25

How are scores calculated?

Stars

18

Forks

7

Language

Python

License

MIT

Last pushed

Dec 17, 2025

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/mcp/angrysky56/NeoCoder-neo4j-ai-workflow"

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