octocode-mcp and NeoCoder-neo4j-ai-workflow
About octocode-mcp
bgauryy/octocode-mcp
MCP server for semantic code research and context generation on real-time using LLM patterns | Search naturally across public & private repos based on your permissions | Transform any accessible codebase/s into AI-optimized knowledge on simple and complex flows | Find real implementations and live docs from anywhere
This project helps software developers enhance their AI assistants by providing a comprehensive understanding of codebases. It takes code from GitHub, GitLab, and local repositories and processes it to allow AI assistants to perform tasks like code search, understanding implementations, and reviewing pull requests with deep context. This tool is for software engineers, tech leads, or engineering managers who want their AI assistants to operate with the expertise of a senior staff engineer.
About NeoCoder-neo4j-ai-workflow
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.
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.
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