sverklo
Reduces context switching and manual navigation when understanding large codebases.
The local-first MCP server for code intelligence — symbol graph, blast-radius, git-pinned memory. Open-source alternative to Greptile/Sourcegraph for Claude Code & Cursor.
- Determine what breaks when refactoring a function
- Trace call chains across multiple files quickly
- Navigate unfamiliar code without leaving the editor
Reduces context switching and manual navigation when understanding large codebases. Enables Claude to trace symbol relationships and impact scope without external API calls.
Teams using Claude Code or Cursor who need fast, local code intelligence without third-party dependencies or rate limits.
https://github.com/sverklo/sverklo
By sverklo
How to Get It
npm install -g sverklo && sverklo init Optional no-write preview first: npm exec --yes --package=sverklo@latest -- sverklo prove --no-write --guided --markdown, then sverklo init --dry-run. 'sverklo init' writes the MCP config for your agent and appends instructions to AGENTS.md or CLAUDE.md.
After installing, paste this into Claude:
Help me determine what breaks when refactoring a function
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- Sverklo: local-first MCP code intelligence for AI agents — 37 tools, 12 langs, M — Reddit · 3 pts
- Sverklo v0.17 launch — paper, two reproducible benchmarks, and the runs we lose — Reddit · 3 pts
- Show HN: Sverklo – repo memory for coding agents — Hacker News · 3 pts
3 mentions across 2 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 60 GitHub stars; contributors unknown; last commit 1d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 60 GitHub stars; contributors unknown; last commit 1d ago; license MIT.