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tenatarika/vex

tenatarika/vex

Local code search over a tree-sitter index: exact s
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Config template (adjust for your client)
claude mcp add vex -- npx -y vex
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
12 ★ · tenatarika/vex · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 12 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository tenatarika/vex;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals

Vex

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Fast hybrid structural + semantic code search. **V**ector + ind**ex**.
Why Vex? · How It Compares · Installation · Quick Start · Commands · Configuration · How Search Works · Benchmarks · Supported Languages · Integration · Testing · Architecture
**Pick the right tool**: vex check for "does Foo exist?", vex search for "find me something about retries". search is a *ranked blend* — it surfaces neighbors (callers / imports) when no symbol literally matches, which is great for exploration and wrong for exact-name lookup. v1.15.0 prints a stderr hint when an identifier-shaped search returns 0 FST hits.
Why Vex?
- **~4-5ms search** after indexing — FST-based O(query_len) lookup, not O(symbols); constant regardless of project size. Requires a pre-built index. Indexing is a one-time cost (hundreds of ms on typical projects) and builds *more* than a plain text index — FST + BM25 + call graph + type-hierarchy + trigram skip-index — so it trades a slower build for far cheaper, richer queries (see Benchmarks)
- **3-channel hybrid search** — structural FST (names) + BM25 (rare body terms) + semantic HNSW (meaning), fused via Reciprocal Rank Fusion. Find symbols when you don't know the exact name AND when generic semantic-only search would be too noisy
- **Persistent call graph** — vex callers/vex callees read from a persistent index built at index time (~4ms), not a live tree-sitter scan (seconds): callers is a name-keyed FST, callees is a dense CSR index (v9+). Module-scope expressions are reported via synthetic callers (Phase 14.1); Python + Java function/method decorators (Phase 14.2), Kotlin annotations + C# method/constructor attributes (Phase 14.2.2), and TypeScript method decorators + Rust outer attributes (Phase 14.2.1) emit forward edges to their targets. Class-level decorators remain invisible — see docs/LIMITATIONS.md
- **Pluggable embedder** — Embedder trait + registry; swap MiniLM-L6-v2 for future code-specific models (BGE, CodeBERT) without touching call sites
- **Token-efficient** — compact output saves typically 6x fewer tokens than grep on average lookups (up to 217x on minified JS/CSS); vex show extracts just the symbol body instead of the whole file
- **19 languages** indexed via tree-sitter, with three coverage tiers: **type-aware --strict usages** on 8 binder languages (Rust / TypeScript / Python / C# / C++ / Go / Java / Kotlin); **indexed pattern prefilter** on 15 T1+T2a languages; baseline structural + semantic search on all 19 (see Supported Languages for the matrix)
- **Single binary, zero config** — no LSP servers, no databases, no Docker. Just vex index && vex check Foo
What Vex isn't
vex is a **static-analysis indexing tool**, not a language server. Set expectations honestly:
- **Not an LSP replacement.** No go-to-definition into third-party packages, no rename refactoring, no type-checking, no hover docs. For those, keep your LSP.
- **vex search is a ranked blend, not an exact-name lookup.** Structural FST + BM25 + semantic fused via RRF return *relevance-ordered* results — when no symbol literally named Foo lives in the index (imported from a dependency, deleted, typo), BM25 may surface callers / imports as if they were the definition. For exact-symbol questions ("does it exist?", "show me the body", "who calls it?") use vex check Foo / vex show Foo / vex usages Foo --strict — they bypass the ranker. **v1.15.0** prints a one-line stderr hint when an identifier-shaped query gets zero FST hits.
- **No dynamic-dispatch visibility.** Decorator routing (@router.get("/path")), string-resolved factories (uvicorn.run("main:app")), reflection (getattr(obj, name)()), and macro-expanded references are all invisible to every vex command. vex grep '\bname\b' is the textual escape hatch.
- **vex callers has uneven coverage outside function scope.** Module-level expressions like app = create_app() are reported via synthetic callers (Phase 14.1). Python + Java function/method decorators (Phase 14.2), Kotlin annotations + C# method/constructor attributes (Phase 14.2.2), and TypeScript method decorators + Rust outer attributes on fns/methods (Phase 14.2.1) emit forward edges — vex callers GetMapping lists every Spring handler, vex callers HttpGet every ASP.NET action, vex callers test every #[tokio::test]. Class-level decorators (14.6) remain on the roadmap.
- **vex usages quality varies by language.** 8 binder-supported languages get refactor-grade --strict refs; the other 11 use an identifier scanner with a higher false-positive rate.
See docs/LIMITATIONS.md for the full coverage matrix, concrete repros, and recommended workarounds per query type. **Read it before evaluating vex on a Python/FastAPI/Django codebase** — the framework patterns are the most-flagged gaps.
Source
awesome · https://github.com/tenatarika/vex
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