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AI Collection MCP Server

answering

AI Collection is answering right now. Last checked moments ago. It exposes 7 tools.

Discover and compare AI tools: search, browse categories, find alternatives and curated picks.

Uptime history 6 days of history
6 days agonow
100.0%
Uptime 24h
92 of 92 checks
7
Tools
read from the server
317 ms
Response time
average over 24h
open, no key
Access
streamable-http

Nothing serious here today

Today is the operative word: we check AI Collection every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 0 min ago.

run in your terminal
claude mcp add ai-collection --transport http https://thataicollection.com/mcp
Settings → Connectors → Add custom connector, then paste this address
https://thataicollection.com/mcp
~/.codex/config.toml
[mcp_servers.ai-collection]
url = "https://thataicollection.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "ai-collection": {
      "url": "https://thataicollection.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "ai-collection": {
      "type": "http",
      "url": "https://thataicollection.com/mcp"
    }
  }
}

Available tools 7

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

alternatives
get_alternatives
Given a specific AI tool, return similar tools (same category, excluding the original). Use for 'what's like X?' or 'cheaper alternative to Y' questions.
browse
browse_category
List applications inside a specific category, paginated. Use this when the user wants to explore an area rather than search for a specific tool.
categories
list_categories
List all categories in the directory. Useful when the user wants to browse by topic or narrow a search by category.
compare
compare_tools
Compare two AI tools side-by-side. Returns structured attributes for both (pricing, deployment, modality, content policy) so the client can recommend which fits a user's needs.
tool
get_tool
Fetch the full detail page for a specific AI tool by its linkName. Returns name, full description, category, screenshot, and additional information if available.
tools
search_tools
Search the AI Collection directory for AI tools matching a query. Returns a ranked list with name, URL, and short description. Use this for 'find me a tool that does X' requests.
top
get_top_picks
Return curated editorial picks across the directory, or within a specific category if provided. Use for 'recommend the best AI tools' or 'top X in Y' questions.

Endpoints

URLTransportStateLatencyChecked
https://thataicollection.com/mcp streamable-http answering 143 ms 0 min ago

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AI Collection — questions

Answers built from our own checks of this server.

What can AI Collection do?
It exposes 7 tools, read directly from the server on our last check. Among them: browse_category, compare_tools, get_alternatives, get_tool, get_top_picks, list_categories and 1 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is AI Collection working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 317 ms. The bar chart above shows every period we have measured.
How do I connect AI Collection?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does AI Collection need an API key?
No. AI Collection completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 7 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is AI Collection?
It answers our handshake in 317 ms on average, which is faster than 45% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.