octocode-mcp and codegraph
These are complements: octocode-mcp provides natural language semantic search across codebases while codegraph provides structural dependency analysis and complexity metrics, so they address different aspects of code understanding that could be combined in a comprehensive code intelligence 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
Implements MCP (Model Context Protocol) with LSP-powered code intelligence (Go to Definition, Find References, Call Hierarchy) across GitHub, GitLab, and local codebases, enabling compiler-level understanding without parsing. Provides modular Agent Skills—including multi-phase research with session persistence, AST-driven code analysis, dependency graphing, and PR review across seven domains—composable via CLI or direct integration into Claude/Cursor.
About codegraph
optave/codegraph
Code intelligence CLI — function-level dependency graph across 11 languages, 30-tool MCP server for AI agents, complexity metrics, architecture boundary enforcement, CI quality gates, git diff impact with co-change analysis, hybrid semantic search. Fully local, zero API keys required.
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