Code Sage
Code Sage is a high-performance semantic code search server written in Rust that combines BM25 keyword search with vector embeddings using RRF reranking for hybrid search capabilities. The implementation uses AST-based chunking via tree-sitter to intelligently split code into semantic units (functions, classes, methods) across 60+ programming languages and file types, with character-based fallback for unsupported formats. Built with embedded storage (USearch for vectors, Tantivy for full-text, Sled for metadata) requiring zero external dependencies, it supports multiple embedding providers including OpenAI, LM Studio, and Ollama, with automatic .gitignore respect and custom file extension support. The server exposes tools for code analysis, natural language search, index management, and status checking, making it valuable for code exploration, documentation generation, and development workflows requiring semantic understanding of large codebases.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/faxioman/code-sage
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Code Sage from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.