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.
Overview
What is NeoCoder?
NeoCoder is an MCP server implementation that allows AI assistants like Claude to utilize a Neo4j knowledge graph as a dynamic instruction manual and project memory for standardized coding workflows.
How to use NeoCoder?
To use NeoCoder, set up a Neo4j database and run the MCP server with Python. Integrate it with Claude AI by configuring the necessary parameters in the claude-app-config.json file.
Key features of NeoCoder?
- Utilizes Neo4j for standardized coding workflows.
- Provides templates for common coding tasks (e.g., FIX, REFACTOR).
- Maintains an audit trail of changes in the graph.
- Enforces critical steps like testing before logging success.
Use cases of NeoCoder?
- Assisting AI in fixing bugs with guided workflows.
- Refactoring code while ensuring functionality.
- Deploying code with safety checks.
- Implementing new features with proper documentation.
FAQ from NeoCoder?
- What is required to run NeoCoder?
You need a running Neo4j instance, Python 3.10+, and Claude Desktop for integration.
- Can I customize the templates?
Yes! Templates can be edited or created in the
templatesdirectory.
- How does NeoCoder ensure coding standards?
NeoCoder uses a knowledge graph to define standard procedures and tracks project changes.