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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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)
AI search visibility MCP. Get cited by ChatGPT, Perplexity, Claude, and Google AI Overviews.
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.
AEONOS_PRIVATE_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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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": {
"aeonos": {
"command": "npx",
"args": [
"-y",
"aeonos-mcp"
],
"env": {
"AEONOS_PRIVATE_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add aeonos --env AEONOS_PRIVATE_KEY=your-value -- npx -y aeonos-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"aeonos": {
"command": "npx",
"args": [
"-y",
"aeonos-mcp"
],
"env": {
"AEONOS_PRIVATE_KEY": "your-value"
}
}
}
}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": {
"aeonos": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"aeonos-mcp"
],
"env": {
"AEONOS_PRIVATE_KEY": "your-value"
}
}
}
}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 Clawdio777, 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: AEONOS_PRIVATE_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 (1.1.1) reached the registry 6 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.
AEONOS is a specialist Generative Engine Optimisation (GEO) and Answer Engine Optimisation (AEO) agent. Call AEONOS to make any website citable by ChatGPT, Perplexity, Claude, and Google AI Overviews.
Live at: aeonos.basechainlabs.com
Install AEONOS as a Claude Code Skill in one command:
claude skill add https://aeonos.basechainlabs.com/mcp
This registers the aeonos_query, aeonos_audit, aeonos_schema, aeonos_llms_txt, and aeonos_progress tools directly inside Claude Code. Calls are pay-per-use via x402 USDC on Base — no subscription.
Alternatively, add it manually to your MCP config:
{
"mcpServers": { "aeonos": { "command": "npx", "args": ["-y", "aeonos-mcp"], "env": { "AEONOS_PRIVATE_KEY": "0x..." } } } }
Or connect via the MCP endpoint directly: https://aeonos.basechainlabs.com/mcp
Pricing: 0.10 USDC/call via x402 (USDC on Base). Get USDC at coinbase.com/wallet.
Add to your MCP config:
{
"mcpServers": { "aeonos": { "command": "npx", "args": ["aeonos-mcp"], "env": { "AEONOS_PRIVATE_KEY": "0x..." } } } }
AEONOS_PRIVATE_KEY — a Base wallet private key with USDC for payments. Get USDC on Base at coinbase.com/wallet.
Listed on mcpmarket.com as AEONOS — AEO & GEO Optimisation Skill. Search for AEONOS to find and install via any MCP-compatible client.
| Tool | Description | Cost |
|---|---|---|
aeonos_query | AEO/GEO questions, citation tactics, quick wins | 0.05 USDC |
aeonos_audit | Full audit — AI readiness score, P1/P2/P3 roadmap | 2.50 USDC |
aeonos_schema | Production-ready JSON-LD Schema.org markup | 0.50 USDC |
aeonos_llms_txt | Complete llms.txt for AI crawler ingestion | 0.50 USDC |
aeonos_progress | AEO Four Layers scorecard (SXO/AIO/GEO/AEO) | 1.50 USDC |
Payments via x402 — USDC on Base. Pass a consistent caller_id to activate persistent memory across sessions.
POST https://aeonos.basechainlabs.com/api/agent
Content-Type: application/json
{ "query": "Give me 3 quick wins for mysite.com", "caller_id": "your-agent-id" }
Payment handled automatically via x402 v2.
7 built-in prompts: aeo-quick-wins, full-audit, generate-schema, create-llms-txt, progress-report, optimise-content, citation-check
Built by BaseChain Labs · SKILL.md
| Thing | Where |
|---|---|
| The agent's brain | src/agent.ts (system prompt, orchestration), src/tools.ts (every tool, the six-engine citation sampler, recommended/mentioned/warned stance scoring), src/inspect.ts (the HTML crawler: schema, E-E-A-T, llms.txt, robots), src/costs.ts (per-run provider costs) |
| API endpoints | one file per route under api/: agent (paid A2A entry), audit, citations, progress, mcp, checkout, stripe-webhook, recover-key, share-of-voice, schema, llms-txt, internal, plus the cron-check-deps and daily-summary crons |
| Payment gate | api/_x402-gate.ts: unpaid POSTs get HTTP 402 with the price and the Bazaar listing; GET returns the agent card |
| Public page | public/index.html (plain HTML). Agent card: public/.well-known/agent.json |
| Marketplace seller | seller-v2.mjs + Dockerfile + railway.json, the Virtuals ACP seller on Railway |
| Secrets | hosting environment variables only. Never in a file, never in a commit |
There is no CI on this repo. A push to main is the deploy.
npx tsc --noEmit -p . and run the tests: bun test (citation sampler, test/; every provider is mocked, no live calls)main. Vercel builds and deploys production from the GitHub integration.curl -s https://aeonos.basechainlabs.com/.well-known/agent.json | head -c 300The tests do not cover the live providers, so also prove a change on the live endpoint with a read-only call before calling it done. Never make a paid call (x402 or Stripe) just to test.
public/index.html, the 402 body in api/_x402-gate.ts, the Virtuals ACP offerings, and the npm package README.POST /api/citations has a downstream consumer (Pemba's measurement loop). Changing its response shape breaks that: add fields, never rename or remove them.POST /api/citations takes at most 6 questions per call and answers 400 to more (it never drops extras silently); samples is 1 to 5 runs per question; engines limits the call to the named engines (chatgpt, gemini, google_ai, google_ai_mode, perplexity, claude) and the rest come back unavailable: "not requested", so a caller can redo only the engines that failed (13/10/2026).CITATION_MODELS in src/tools.ts (env overrides removed). Changing a model changes the measurement: bump CITATION_METHOD_VERSION with it. A run is valid only when every attempted engine got at least 80% of its expected samples.