CodeAlive-AI/codealive-mcp

The most accurate and comprehensive Context Engine as a service, optimized for large codebases, powered by advanced GraphRAG and accessible via MCP. It enriches the context for AI agents like Codex, Claude Code, Cursor, etc., making them 35% more efficient and up to 84% faster.

47
/ 100
Emerging

This project helps software developers using AI coding assistants to get better, faster, and more relevant suggestions, especially when working with large codebases. It takes your existing code and AI assistant's queries, then provides enriched context about your project to the AI. This means the AI can understand the bigger picture beyond individual files, helping developers find relevant code, understand complex flows, and get more accurate answers from their AI assistant.

Use this if you are a software developer frequently using AI coding assistants and find they struggle with understanding the full context of your large projects, leading to less efficient coding.

Not ideal if you rarely use AI coding assistants or primarily work on very small, isolated code snippets where deep project context isn't a significant challenge.

software-development ai-assisted-coding codebase-navigation developer-tools large-scale-development
No Package No Dependents
Maintenance 10 / 25
Adoption 9 / 25
Maturity 15 / 25
Community 13 / 25

How are scores calculated?

Stars

75

Forks

9

Language

Python

License

MIT

Category

mcp-rag-servers

Last pushed

Feb 15, 2026

Commits (30d)

0

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