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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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)
Researched knowledge for AI agents. Canonical answers from official sources.
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": {
"agentskb": {
"command": "npx",
"args": [
"-y",
"@agentskb/cli"
]
}
}
}Run this in your terminal
claude mcp add agentskb -- npx -y @agentskb/cliPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"agentskb": {
"command": "npx",
"args": [
"-y",
"@agentskb/cli"
]
}
}
}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": {
"agentskb": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@agentskb/cli"
]
}
}
}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 6, 2026
The registry name was verified with the GitHub account Cranot, 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 (0.1.1) reached the registry 11 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js 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.
Give Your AI Expert-Level Knowledge
Researched answers to any problem. Your AI, upgraded.
About this repository: AgentsKB is a hosted MCP server — there is no server
to build or run locally, and this repository contains no source code. It exists to
document the endpoint and to collect bug reports. Point your MCP client at the URL
below and you are done.
The server is hosted at https://mcp.agentskb.com/mcp-kb and speaks MCP over streamable HTTP. No API key and no signup are required.
claude mcp add --transport http agentskb https://mcp.agentskb.com/mcp-kb
Add --scope user to make it available in every project instead of just the current one. Verify the connection with:
claude mcp list
Add this to your client's MCP configuration file:
{
"mcpServers": { "agentskb": { "type": "http", "url": "https://mcp.agentskb.com/mcp-kb" } } }
Config file locations:
| Client | File |
|---|---|
| Claude Code (per-project) | .mcp.json in the project root |
| Claude Code (global) | ~/.claude.json |
| Claude Desktop | claude_desktop_config.json |
| Cursor (global) | ~/.cursor/mcp.json |
| Cursor (per-project) | .cursor/mcp.json in the project root |
Cursor does not use the type field — for Cursor, list url on its own.
Some older clients do not support remote HTTP servers and only launch local processes. If yours is one of them, bridge to the endpoint with mcp-remote:
{
"mcpServers": { "agentskb": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.agentskb.com/mcp-kb"] } } }
The knowledge base is also reachable over plain HTTP, with no key:
curl -X POST https://agentskb-api.agentskb.com/api/free/ask \
-H "Content-Type: application/json" \ -d '{"question":"What is a PostgreSQL index scan?"}'
Your AI searches. We research. That's the difference.
| Tool | Arguments | Description |
|---|---|---|
ask_question | question\*, domain, limit | Expert-quality answers with sources |
preflight_check | task\*, depth | See what verified knowledge exists for your task |
search_questions | query\*, domain, limit | Browse Q&As by topic |
get_stats | — | Coverage metrics |
consult_taxonomy | path, depth | Navigate the knowledge taxonomy |
check_prerequisites | domain\* | Foundational topics to understand first |
get_lockfile_status | — | Check whether strict/pinned-answer mode is active |
\* required. question and query expect a full natural-language question — bare keywords such as mysql are rejected.
The server also exposes two resources: agentskb://context/current (detected project stack) and agentskb://context/prompt (a system-prompt fragment for that stack).
55,000+ Q&As across 287 domains. The deepest coverage today is:
Call get_stats for live counts, or consult_taxonomy to browse the full domain list.
Coverage is uneven and still growing. If you ask about a topic that is not yet covered, the server queues it for research and replies Topic ' ' research queued instead of returning an answer — ask again later.
Open an issue on this repository: https://github.com/Cranot/agentskb-mcp/issues
@agentskb/cli on npm: https://www.npmjs.com/package/@agentskb/cli — a separate tool for pinning and verifying answers in a repo (init, check, lock, request, update, verify). It does not implement an MCP server and is not needed to use the endpoint above.MIT