by CodeAlive-AI · MCP Server · ★ 82
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CodeAlive MCP: Deepest Context Engine for your projects (especially for large codebases) Connect your AI assistant to CodeAlive's powerful code understanding platform in seconds! This MCP (Model Context Protocol) server enables AI clients like Claude Code, Cursor, Claude Desktop, Continue, VS Code (GitHub Copilot), Cline, Codex, OpenCode, Qwen Code, Gemini CLI, Roo Code, Goose, Kilo Code, Windsurf, Kiro, Qoder, n8n, and Amazon Q Developer to access CodeAlive's advanced semantic code search and codebase interaction features. What is CodeAlive? CodeAlive is a Context Engine for large codebases, powered by graph-based retrieval and exposed through MCP. It gives AI agents like Cursor, Claude Code, Codex, and other MCP-compatible tools precise repository context instead of forcing them to read files blindly. In our RepoQA benchmark, CodeAlive + Qwen3.6 deep reached frontier-agent quality at 25x lower model cost, and semantic search reduced captured tokens by 45%. It's like Context7, but for your (large) codebases.
| Stars | 82 |
| Forks | 9 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.1447068176358/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-30 |
| Created | 2025-04-26 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~21k |
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codealive-mcp is Context engine for large codebases, exposed through MCP. Gives AI coding agents precise repository context; benchmarked at frontier-agent quality with ~25x lower model cost and 45% fewer tokens with s. It is categorized as a MCP Server with 82 GitHub stars.
codealive-mcp is primarily written in Python. It covers topics such as claude-code, cursor, graphrag.
You can find installation instructions and usage details in the codealive-mcp GitHub repository at github.com/CodeAlive-AI/codealive-mcp. The project has 82 stars and 9 forks, indicating an active community.
codealive-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to codealive-mcp on Agent Skills Hub include codegraph-rust, deepcontext-mcp, AgenticX. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.