Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Code search for coding agents: ranked, exact excerpts with line numbers.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
TYPESAFE_API_KEYValues 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.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account bartlomein, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: TYPESAFE_API_KEY
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).
The GitHub repo last changed –, and the latest version (0.9.1) reached the registry 17 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
In the same category: Context7, Codebase Memory, Exa
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
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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
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.
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 tool | Time | Tokens | Tool calls | Tasks 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.
| Benchmark | What it tests | Oko | Best comparison |
|---|---|---|---|
| Sense's agent benchmark | Six multi-step tasks, Claude Opus 4.7, run against Sense the same evening | Found 88% of the locations to cite, at half the cost | Sense: 63% |
| Agent Retrieval Bench | 345 tasks: find the files a developer needs next | Right file ranked first most often: 0.40, checked by the benchmark's maintainers | Best published method: 0.24 |
| SWE-Explore | 848 real issues: rank the code fixing agents needed | One search ranks it within the range of agents that explore for many turns: 0.82 | Agents: 0.72–0.95 |
oko ask "where is authentication handled?"
oko ask "how are retries handled?" --json oko stats # what ranking has cost you
More in search options.
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.
| I want to… | Guide |
|---|---|
| Install, upgrade or troubleshoot | Installation |
| Connect a tool by hand, or understand the MCP tool | Client setup · MCP reference |
Configure keys, .env or caching | Configuration |
| Search from the terminal, or rank my own documents | Search · Document ranking |
| See every benchmark and how it was run | Benchmark results |
| Know what leaves my machine | Privacy |
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.
MIT. Dependency attributions are in THIRD_PARTY_NOTICES.md.