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PopNx MCPMCP servers for people who use AI · explained in plain words

Oko

by bartlomeinversion 0.9.1i★ –iRuns on your computer
Registry nameio.github.bartlomein/oko

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory
  • You need to fill in: TYPESAFE_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: TYPESAFE_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

Fill in the empty values before running it.

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • TYPESAFE_API_KEY secret required env
    TypeSafe AI key for ranking with Jev.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account bartlomein, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7258 servers in this category
  • Published to the registry more recently than 69% of the other 7258 servers in this category
  • Basic checks equal to or better than 100% of the other 7258 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Oko safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: TYPESAFE_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.9.1) reached the registry 17 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today
Install

Codebase Memory

by DeusData

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

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

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

Runs in the cloud★ 5,213MITUpdated last month
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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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