About nullptr-z/code-rag-golang
nullptr-z/code-rag-golang is an MCP server in the RAG category: so AI editors know exactly what code is affected before making changes.
Install
git clone https://github.com/nullptr-z/code-rag-golangThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
crag - Call Graph for AI-Assisted Go Development
AI modifies a function but misses 5 callers that also need updating. crag fixes this — it builds precise call graphs via static analysis, so AI knows exactly what's affected before making changes.
How It Works
crag analyze . # Build call graph using SSA + VTA static analysis
# → Stored in SQLite, fast to query
AI: "Modify ProcessRequest"
→ crag automatically finds all 5 callers
→ AI updates them together, nothing missed
Install
git clone https://github.com/zheng/crag.git
cd crag
go install ./cmd/crag
Quick Start
# 1. Analyze your Go project
crag analyze . -o .crag.db
# 2. Configure MCP for your AI editor (Cursor / Claude Code)
# Add to .cursor/mcp.json or claude_desktop_config.json:
{
"mcpServers": {
"crag": {
"command": "crag",
"args": ["mcp", "-d", "/absolute/path/.crag.db"]
}
}
}
# 3. Keep it updated (pick one)
crag watch . -d .crag.db # Auto-update on file changes
# or: add `crag analyze . -i` to .git/hooks/post-commit
That's it. Your AI editor can now query call graphs directly.
What AI Can Do With crag
After MCP setup, just ask naturally:
- "Where is HandleRequest called?" → upstream callers
- "If I change BuildSSA, what's affected?" → impact analysis
- "Find all functions containing Auth" → search
CLI Usage
crag impact "HandleRequest" -d .crag.db # Impact analysis (callers + callees)
crag upstream "db.Query" -d .crag.db # Who calls this? (recursive)
crag downstream "Process" -d .crag.db # What does this call?
crag search "Handler" -d .crag.db # Search functions by name
crag risk -d .crag.db # Show high-risk functions
crag implements -d .crag.db # Interface implementations
crag view -d .crag.db # Web UI visualization
crag export -d .crag.db -o crag.md # Export as Markdown (RAG context)
Why crag?
| Text search (grep) | IDE (gopls) | crag | |
|---|---|---|---|
| Interface calls | miss | partial | VTA precise resolution |
| Persisted & queryable | no | no | SQLite |
| AI integration | manual copy | no | MCP native |
| Incremental update | n/a | n/a | Git-aware |
| Zero CGO | n/a | n/a | Pure Go SQLite |
Tech
- Analysis: Go SSA + VTA (Variable Type Analysis) via
golang.org/x/tools - Storage:
modernc.org/sqlite(pure Go, single binary) - CLI:
cobra· Web UI: embeddedvis.js
License
MIT
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.