原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Osnova

作者:getdomovoi版本 0.12.0i★ –i在你的电脑上运行
注册名称io.github.getdomovoi/osnova

安装

概览

作者提供的说明(英文原文)

Deterministic code map for AI coding agents: a tree-sitter call graph with exact file:line over MCP.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "osnova": {
      "command": "npx",
      "args": [
        "-y",
        "@getdomovoi/osnova",
        "mcp"
      ],
      "env": {
        "OSNOVA_CACHE_DIR": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add osnova --env OSNOVA_CACHE_DIR=your-value -- npx -y @getdomovoi/osnova mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "osnova": {
      "command": "npx",
      "args": [
        "-y",
        "@getdomovoi/osnova",
        "mcp"
      ],
      "env": {
        "OSNOVA_CACHE_DIR": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "osnova": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@getdomovoi/osnova",
        "mcp"
      ],
      "env": {
        "OSNOVA_CACHE_DIR": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • OSNOVA_CACHE_DIR env
    Cache directory; the only place osnova writes.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 getdomovoi 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 4919 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 4919 个服务器的 54% 更新
  • 基础检查结果等于或优于此分类中其他 4919 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Osnova 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.12.0)于37天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT4天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT17天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Osnova

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:

npx -y @getdomovoi/osnova mcp --workspace /path/to/repo

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.

osnova setup claude --apply

osnova setup agents --apply

Or add the MCP entry by hand; replace osnova with npx -y @getdomovoi/osnova when there is no global install.

{ "mcpServers": { "osnova": { "command": "osnova", "args": ["mcp"] } } }

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):

function src/api.ts#refreshWorkspace: 83 indexed edges

reach: d1 callers 83 in 14 files (3 dirs); d2 +16 in 2 files; unresolved same-name 10; tests 18 d1 calls src/cli/cli.ts#ensureIndex:78 [import-binding] d1 calls src/cli/hook.ts#runHook:191,203,225,240 [import-binding] d1 calls src/mcp/server.ts#createOsnovaMcpServer.refresh:297 [import-binding] d1 calls test/verification-fastpath.test.ts# :37,47,48,51,53,57,58,64,68,74,78,85,110,114,132,145,154,166,171,197 [re-export-binding] via src/index.ts:65 refreshWorkspace -> src/api.ts (export refreshWorkspace) This does not prove absence of callers or that deletion is safe. unresolved evidence (10); not confirmed relationships candidates for refreshWorkspace (2, unverified): src/api.ts#refreshWorkspace, test/mcp-watch.test.ts#refreshWorkspace d1 calls refreshWorkspace test/artifact-format9.test.ts:78,85,104,120,140 [binding-blocked] d1 calls refreshWorkspace scripts/perf.mjs:485,486,491 [import-target-unresolved]

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.

CorpusLanguagesCall sitesResolvedShareExcluding externals
clickall6593290344.0%62.4%
cobraall4374198045.3%88.9%
gsonall23382847336.2%56.7%
humanizerall30517779825.6%51.3%
pyrightall585783007051.3%74.5%
ripgrepall13387612145.7%71.6%
zodall534172163040.5%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:

CorpusCheckerDecided edgesFalseFalse-edge rateIn-repo sites covered
clickpyright 1.1.414288300%90.4%
zodTypeScript 5.9.32159340.02%78.2%
cobrago/types, Go 1.27.1198000%87.5%
ripgreprust-analyzer 1.98.16066290.48%85.8%
humanizerRoslyn 5.9.0736330.04%62.2%
gsonjavac 27813340.05%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/.

Grep versus the graph

The reason to keep a call graph instead of running a text search is not speed. It is that the first regex a person types is wrong more often than it looks, and nobody notices. Nine call-site sets in six languages were verified line by line; each cell shows sites found (precision / recall), and the method lists what each side got wrong.

CorpusTargetVerified sitesText searchResolved graph
clickContext.invoke depth 21312 (0.92 / 0.85)12 (1.00 / 0.92)
pyrightgetChildNodes depth 2285 (0.80 / 0.14)28 (1.00 / 1.00)
cobraCommand.Root depth 13030 (1.00 / 1.00)30 (1.00 / 1.00)
cobraCommand.PersistentFlags depth 11213 (0.92 / 1.00)12 (1.00 / 1.00)
humanizerConfigurator.GetFormatter depth 11819 (0.74 / 0.78)18 (1.00 / 1.00)
ripgrepSearcher.line_terminator depth 11232 (0.38 / 1.00)12 (1.00 / 1.00)
ripgrepLineTerminator.as_byte depth 12626 (1.00 / 1.00)26 (1.00 / 1.00)
gsonJsonReader.beginObject depth 11029 (0.34 / 1.00)10 (1.00 / 1.00)
gsonTypeToken.getRawType depth 12743 (0.63 / 1.00)27 (1.00 / 1.00)

The graph never returned a site that was not a call of the target. The record is benchmarks/results/grep-vs-graph-2026-09-21.json.

The ten tools

The names play on the foundation image. The CLI uses the same names without the prefix: osnova ground and osnova_ground are the same query.

ToolMeaningDoes
osnova_groundthe ground you stand onKeyword search: ranked definitions with exact file:line

只显示了开头部分;其余内容请在仓库中阅读

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