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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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)
Your agent seeks what search can't find. A self-hosted perception MCP server.
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.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"omniseek": {
"command": "uvx",
"args": [
"omniseek"
]
}
}
}Run this in your terminal
claude mcp add omniseek -- uvx omniseekPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"omniseek": {
"command": "uvx",
"args": [
"omniseek"
]
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"omniseek": {
"type": "stdio",
"command": "uvx",
"args": [
"omniseek"
]
}
}
}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 10, 2026
The registry name was verified with the GitHub account Battam1111, 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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 (0.2.1) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv), Docker 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:↓ Downloads per weeki★ 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.
Give your AI agent the parts of the internet web search doesn't reach.
OmniSeek is an add-on for AI assistants and agents like Claude Code, Cursor, and Codex that lets them search where web search stops.
uv tool install omniseek
claude mcp add omniseek -- omniseek
Runs on your own computer. It plugs in through MCP, the standard way AI apps like Claude Code and Cursor add tools. Cursor and Codex: one line each, see Install.
We asked two agents for Mu Li's exact words on the Transformer paper's writing, and the minute, in his 87-minute Bilibili walkthrough: web search returned a paraphrase and "around minutes 1 to 8", while the agent with OmniSeek transcribed the video and found the line at 1:21:51.
The full comparison on three questions, with sources, dates, and a short video.
It also keeps what it finds in a local index on your computer, so later searches start from what it already knows.
The two commands above are all you need, with Python 3.11 or newer (uv installs it if you don't have it). Your AI app starts OmniSeek when it needs it. Nothing to keep running, no port to open.
Cursor, Codex, pipx, Docker, and the optional add-ons (podcast transcription, PDF reading, sites you log in to) are in [Install](https://github.com/Battam1111/omniseek/blob/main/docs/install.md).
OmniSeek runs on your computer. There is no OmniSeek cloud, no account, no telemetry: your agent's searches go straight to the sites you turned on. Public sites are on by default. Sites that need a login are off until you switch them on, and then they use the login already in your own browser; OmniSeek never sees your password. What it builds up as you use it stays in local files you own.
OmniSeek has no AI model of its own and sends nothing to a server of ours. Your agent does the thinking; OmniSeek goes and gets things. Settings: Configuration.
Your agent starts with omniseek_search. The rest, from paper maps to saved searches and the notes your agent keeps (omniseek_ruling, omniseek_statement), are in [tools.md](https://github.com/Battam1111/omniseek/blob/main/docs/tools.md).
Worked examples, real outputs · A full case study · FAQ, including how it differs from Exa and Tavily · All sources · Source health, updated weekly
[How we test these claims](https://github.com/Battam1111/omniseek/blob/main/bench/DESIGN.md): a test only counts if we first checked that plain web search could not find its answer on the first page (latest results). Using Claude Code? skills/omniseek-investigate is a ready-made research method: search wide, narrow in, add structure.
See CONTRIBUTING.md: a new source has to find something plain web search doesn't. Fixing a source that stopped working is always welcome. Run python tests/smoke.py before you push.
By participating you agree to the Code of Conduct.
Give your AI agent the parts of the internet web search doesn't reach.
Apache-2.0 · NOTICE · Security · Cite