Code RAG
A semantic code search server that enables searching and understanding codebases using vector embeddings and similarity search. Built in Go with Qdrant vector database integration, it supports local embeddings via LM Studio or OpenAI embeddings, and provides incremental indexing with git hook automation for keeping code indices up-to-date. Offers tools for semantic code search, finding similar code patterns, explaining code with context, and managing indexing operations across multiple programming languages including Go, Python, JavaScript/TypeScript, Terraform, and others.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/mirrdhyn/code-rag-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Code RAG 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.