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

Oko

作者:bartlomein版本 0.9.1i★ –i在你的电脑上运行
注册名称io.github.bartlomein/oko

安装

概览

作者提供的说明(英文原文)

Code search for coding agents: ranked, exact excerpts with line numbers.

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: 搜索与 AI 记忆
  • 你需要填写:TYPESAFE_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

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 …”。

下载作者的 .mcpb 文件

链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。

在终端中运行这条命令

运行前请先填写空着的值。

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。

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

  • TYPESAFE_API_KEY 机密 必填 env
    TypeSafe AI key for ranking with Jev.

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 bartlomein 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“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7258 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7258 个服务器的 69% 更新
  • 基础检查结果等于或优于此分类中其他 7258 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

Oko 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?

你需要填写:TYPESAFE_API_KEY

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(0.9.1)于17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 MCPB。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

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

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT今天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
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。

Oko

Help your coding agent find code faster and use fewer tokens.

Oko gives Claude Code, Codex, Cursor, OpenCode and Pi a better code search. When you ask your agent about your code, Oko has already found the relevant source, so the agent spends fewer rounds searching and reading files it does not need.

Nine coding tasks on Astro, HTTPX and ripgrep, three runs each, with and without Oko. Results · Method

  • Faster: about half the time in Claude Code, OpenCode and Pi; a quarter less in Codex.
  • Cheaper: 33–44% fewer tokens with every tool we measured.
  • Fewer detours: 65–89% fewer tool calls.
  • Better ranking: puts the right file first more often than any published method on Agent Retrieval Bench.
  • Local first: search runs on your machine; only the question and selected snippets go to the ranker (privacy).

Quick start

brew install bartlomein/tap/oko

cd your-project oko setup --client claude # or codex, cursor, opencode, pi, all

Without Homebrew: curl -fsSL https://raw.githubusercontent.com/bartlomein/oko/main/install.sh | sh.

Then use your coding tool as usual. Setup asks for a TypeSafe AI key the first time, connects your tool to Oko for this project, and checks the connection. Run it once per project; oko upgrade keeps everything current (with Homebrew, run brew upgrade oko first).

Codex: approve Oko's hook once

The first time you open the project, Codex shows Hooks need review. Choose Trust all and continue. If you skipped it, /hooks brings it back.

Cursor: turn Oko on once

Cursor adds a project's tools switched off. Open Customize > MCPs, click oko and turn it on.

Pi: trust the project

Pi 1.0 or later. Trust the project when Pi asks, then check /mcp. Pi setup.

Claude Code, OpenCode: nothing more to do

Start a new session after setup.

Platforms, manual install, no-key mode

macOS (Apple Silicon and Intel) and Linux (ARM64 and x64, glibc 2.35+). The installer puts oko in ~/.local/bin; add it to your PATH if needed. Other install options · Connect a tool by hand · Keys and configuration. For search without a key, add --no-jev: local keyword ranking only.

Results

The same task given to the same coding tool twice, once with its own search and once with Oko, in the same run. Means per session.

Coding toolTimeTokensTool callsTasks passed (without → with)

| Claude Code | 47% less 12.1 → 6.4 s | 44% less 24,271 → 13,627 | 89% less 3.5 → 0.4 | 19 → 20 of 20 | | Codex | 26% less 13.8 → 10.2 s | 43% less 45,395 → 26,004 | 80% less 3.0 → 0.6 | 20 → 20 of 20 | | OpenCode | 47% less 18.0 → 9.6 s | 43% less 13,196 → 7,528 | 87% less 3.7 → 0.5 | 21 → 21 of 21 | | Pi | 51% less 16.7 → 8.2 s | 33% less 9,737 → 6,495 | 85% less 3.6 → 0.5 | 20 → 21 of 21 | | Cursor | 6% less 52.3 → 49.2 s | 40% less 182,940 → 109,520 | 65% less 8.0 → 2.8 | 26 → 24 of 27 |

Models: Claude Sonnet 5.5 (Claude Code), GPT-6.1 Sol (Codex, OpenCode, Pi), Grok 4.7 High (Cursor), at their default or low effort. Cursor's row is from its own run on the previous release; the others are from October 2026. Each tool counts tokens its own way, so compare within a row. Small benchmark; your results will vary. Method, per-task results and caveats · raw data.

Other benchmarks

BenchmarkWhat it testsOkoBest comparison
Sense's agent benchmarkSix multi-step tasks, Claude Opus 4.7, run against Sense the same eveningFound 88% of the locations to cite, at half the costSense: 63%
Agent Retrieval Bench345 tasks: find the files a developer needs nextRight file ranked first most often: 0.40, checked by the benchmark's maintainersBest published method: 0.24
SWE-Explore848 real issues: rank the code fixing agents neededOne search ranks it within the range of agents that explore for many turns: 0.82Agents: 0.72–0.95

Where Oko helps less

  • Cursor's own search is already fast, so Oko saves less time there: mostly tokens and tool calls.
  • Duplicated code can mislead it. When two files hold identical copies of a function, Oko may show the wrong one first; one Astro edit task in our benchmark fails this way.
  • Big changes across many files: one search returns five places, so an issue touching many files still needs the agent's own exploring.

Use it from your terminal

oko ask "where is authentication handled?"

oko ask "how are retries handled?" --json oko stats # what ranking has cost you

More in search options.

How it works

Oko searches your project locally (keywords, symbols and file structure), then asks Jev, TypeSafe AI's relevance model, which of the candidates actually answer the question, and returns those excerpts with exact line numbers. oko setup connects it to your tool as an MCP server, adds short guidance to the instructions your tool reads, and installs a hook that answers a code question as you send it. What setup changes · Privacy.

Documentation

I want to…Guide
Install, upgrade or troubleshootInstallation
Connect a tool by hand, or understand the MCP toolClient setup · MCP reference
Configure keys, .env or cachingConfiguration
Search from the terminal, or rank my own documentsSearch · Document ranking
See every benchmark and how it was runBenchmark results
Know what leaves my machinePrivacy

Contributing

Bug reports and ideas are welcome: open an issue with your OS and oko --version, without keys or private code. To build and test, see CONTRIBUTING.md.

License

MIT. Dependency attributions are in THIRD_PARTY_NOTICES.md.

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