CanonicAI — cited Answers corpus MCP Server

by canonicai Your server? Claim it

not responding

CanonicAI — cited Answers corpus is listed as active in the registry but did not answer our last check. It exposes 3 tools.

Read-only hosted MCP over CanonicAI's cited Answers corpus on canonicai.com.

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 13 days of history · worst day 10%

13 days agonow

37.0%

Uptime 24h

34 of 92 checks

Tools

read from the server

340 ms

Response time

average over 24h

open, no key

Access

streamable-http

CanonicAI — cited Answers corpus does not always answer

Over the last week it answered 90.9% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add canonicai-answers --transport http https://canonicai.com/api/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "canonicai-answers": {
      "url": "https://canonicai.com/api/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.canonicai-answers]
url = "https://canonicai.com/api/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "canonicai-answers": {
      "url": "https://canonicai.com/api/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "canonicai-answers": {
      "url": "https://canonicai.com/api/mcp"
    }
  }
}

Available tools 3

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

answers

list_answers

List published CanonicAI answer summaries from the static Answers corpus. Returns slug, id, question, canonical URLs, and citation counts.

search_answers

Search CanonicAI answers by simple deterministic token scoring over question, shortAnswer, and answer fields.

answer

get_answer

Return one Answer contract v0 record with citations for a known slug. Never fabricates content for unknown slugs.

Endpoints

URL	Transport	State	Latency	Checked
https://canonicai.com/api/mcp	streamable-http	answering	230 ms	2 min ago

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CanonicAI — cited Answers corpus — questions

Answers built from our own checks of this server.

What can CanonicAI — cited Answers corpus do?

It exposes 3 tools, read directly from the server on our last check. Among them: get_answer, list_answers, search_answers. 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 CanonicAI — cited Answers corpus working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 34 of 92 checks got a reply (37.0%), average response time 340 ms. The bar chart above shows every period we have measured.

Is CanonicAI — cited Answers corpus still maintained?

The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.

The registry lists CanonicAI — cited Answers corpus as active — why does it not respond?

The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.

How do I connect CanonicAI — cited Answers corpus?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does CanonicAI — cited Answers corpus need an API key?

No. CanonicAI — cited Answers corpus completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 3 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is CanonicAI — cited Answers corpus?

It answers our handshake in 340 ms on average, which is faster than 48% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.