codebase-memory-mcp
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries
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Overview
Indexes codebases into a persistent knowledge graph using tree-sitter AST analysis across 162 languages with Hybrid LSP semantic resolution for 10 languages. Provides 17 MCP tools for AI agents to query code structure, functions, classes, and call chains with sub-millisecond response times. Ships as a single static binary with zero dependencies and works across 45 agent client surfaces.
Deep Analysis
Indexes average repositories in milliseconds with sub-ms query performance using persistent knowledge graphs rather than file-by-file exploration.
⚡ Capabilities
- • Codebase indexing into knowledge graph
- • AST parsing for 162 languages
- • Semantic type resolution for 10 languages
- • Sub-millisecond structural queries
- • Persistent code intelligence storage
🔗 Integrations
✓ Best For
- ✓ AI coding agents needing codebase understanding
- ✓ Developers building code-aware AI assistants
- ✓ Teams implementing MCP-based tool integration
✗ Not Ideal For
- ✗ End-user AI writing tools
- ✗ Generic chatbots without coding focus
- ✗ Image generation applications
⚠ Known Limitations
- ⚠ Requires MCP-compatible agent clients
- ⚠ Focuses on code intelligence rather than execution
- ⚠ Semantic resolution limited to 10 languages
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