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getdomovoi/osnova

getdomovoi/osnova

Deterministic code map for AI coding agen
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add osnova -- npx -y osnova
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
1 ★ · getdomovoi/osnova · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 1 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 getdomovoi/osnova;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Osnova

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

**A deterministic code map for AI coding agents.** Osnova indexes a repository into a symbol and call graph with tree-sitter, then serves it to any MCP client or from the command line. Same input, same output, byte for byte. No embeddings, no telemetry, and no network connection unless you type osnova update-check. Twenty languages, seven of them (TypeScript, JavaScript, Python, Go, Rust, Java, C#) with deep adapters.
*Osnova* is the Slavic word for base or foundation. That is the job: give an agent solid ground to stand on before it edits code.
Quick start
Node.js 22.13 or newer. Serve a repository to any MCP client:
After npm install -g @getdomovoi/osnova, one command per kind of agent: claude wires Claude Code (MCP entry, session, prompt and stop hooks, and the skill); agents wires every installed harness that reads AGENTS.md (Codex, OpenCode, Kilo, Pi, Cursor), each with its hooks, plugin or extension, plus one shared skill in ~/.agents/skills/. Each previews its changes; --apply writes them, backing up every file it changes.
Or add the MCP entry by hand; replace osnova with npx -y @getdomovoi/osnova when there is no global install.
What you get back
osnova warp src/api.ts#refreshWorkspace on this repository, cut to twelve lines (test/docs-readme-warp.test.ts fails when the first two no longer reproduce):
Each confirmed line names the caller, its lines and the evidence that tied the call to this definition: an import binding, a same-file definition, a re-export chain with its hop, or an identified receiver. Calls the index could not tie to a definition are listed apart as unresolved evidence, with the same-name candidates it found and the reason it stopped, so a name match is never mistaken for a caller. The reach line gives exact counts, not scores, and when the list outgrows its budget a capped: line and an omitted: footer count what was left out.
How much of the graph is exact
A call site counts as resolved when the index ties it to one definition through evidence it can name; everything else stays unresolved with a reason. These are the shares on the pinned checkouts under benchmarks/corpora/, recorded in benchmarks/results/resolution-coverage-2026-09-21b.json; the last column leaves out calls through packages outside the repository and calls to builtins, which can never resolve locally, and the reference defines every column.
| Corpus | Languages | Call sites | Resolved | Share | Excluding externals |
|---|---|---:|---:|---:|---:|
| click | all | 6593 | 2903 | 44.0% | 62.4% |
| cobra | all | 4374 | 1980 | 45.3% | 88.9% |
| gson | all | 23382 | 8473 | 36.2% | 56.7% |
| humanizer | all | 30517 | 7798 | 25.6% | 51.3% |
| pyright | all | 58578 | 30070 | 51.3% | 74.5% |
| ripgrep | all | 13387 | 6121 | 45.7% | 71.6% |
| zod | all | 53417 | 21630 | 40.5% | 73.2% |
Per-language rows are in the reference. osnova coverage reports the same numbers for your own repository, per language and per reason.
Resolved is not the same as right, so the call edges are also scored against each language's type checker or compiler. Every call site in six pinned checkouts was sent to the checker for the callee's declarations, and each osnova edge was marked true when the definition it names contains that declaration and false when it does not. Measured at 0.12.0:
| Corpus | Checker | Decided edges | False | False-edge rate | In-repo sites covered |
| --- | --- | ---: | ---: | ---: | ---: |
| click | pyright 1.1.414 | 2883 | 0 | 0% | 90.4% |
| zod | TypeScript 5.9.3 | 21593 | 4 | 0.02% | 78.2% |
| cobra | go/types, Go 1.27.1 | 1980 | 0 | 0% | 87.5% |
| ripgrep | rust-analyzer 1.98.1 | 6066 | 29 | 0.48% | 85.8% |
| humanizer | Roslyn 5.9.0 | 7363 | 3 | 0.04% | 62.2% |
| gson | javac 27 | 8133 | 4 | 0.05% | 72.3% |
Java and C# overloads share one symbol in the index, so a call edge names the overload it binds only when the written argument count fits exactly one declaration of the type, its partial parts and its declared base classes; when it fits several or none, the edge keeps the method and names no declaration, and the oracle leaves it out of both rates (2526 edges on gson, 602 on humanizer). 0.11.0 named the last overload declared for every call, recorded a call at the first line of its call expression, and lost the rest of a C# file after a primary constructor or a raw string; it measured gson 2045 false edges (24.75%), humanizer 617 (8.25%) and ripgrep 112 (2.06%). Of the 29 left on ripgrep, 11 are functions declared once per #[cfg] branch, 6 are a test module's function named like its parent's, and 5 are calls to a local closure or parameter named like a function elsewhere. A call whose target has one declaration that fits keeps it even when a base type is outside the index, where an unseen base overload could be the one the compiler binds; this limit is kept because withdrawing those edges cost 10 recall points on humanizer for one fewer false edge. Every false edge is classified by cause in benchmarks/results/type-checker-oracle-2026-09-30.json with the method and its limits. The scripts that produce these numbers are in benchmarks/oracle/.
来源
awesome · https://github.com/getdomovoi/osnova
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