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ARC AI MCP server

Which MCP servers are ARC AI's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.

read 2026-10-27

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Whose server it is
  • Registry nameio.arcai/arcaiverified in the MCP registry

The registry name sits under arcai.io. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

When we asked itchecked 2026-10-27
  • Stateanswerschecked 2026-10-27
  • Tools9
  • Server calls itselfarcai
  • Server version1.2.0
  • Protocol version2025-06-18

On 2026-10-27 the server answered initialize and tools/list without a sign-in. First answer in 197 ms.

Should an agent connect itNot proven either way yet
  • Whether its tools do the product's job has not been judged yet.
  • Checked on 1 of the 7 days it takes to judge reliability.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

Measured dailydaily checks: 1, the first on 2026-10-27
  • INITE MCP scoreafter a weeka score needs 7 daily checks: 1 so far
  • Answeredmeasuring1 of the 7 daily checks it takes to print a share
  • Median first answer616 ms
  • Space in an agent's context≈ 1,188 tokensthe definitions of all its tools (9), which an agent carries on every turn
  • Tool definitionsA · 100 of 100
  • Typed results9 of 9 toolsdeclared outputSchema: results come typed, read once
  • Every tool passes all six checks.

Worth a look

None of the five warning signs in these definitions.

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

Tools it offers9 tools · read 2026-10-27
  • scan_token

    Fast rug/scam check for any Solana or EVM token by contract address (1–3 s, no AI cost). Returns a CLEAN / CAUTION / RISKY verdict with plain-language reasons, contract checks (mint & freeze authority, LP lock, honeypot, buy/sell tax, top…

  • analyze_token

    Slower, deeper report (10–40 s) written by ARC AI's model: overall score, scam probability, risk/hype/whale scores, narrative tags, section-by-section analysis and holder/developer data. Prefer scan_token for a quick safety check…

  • get_signals

    Latest signals from ARC AI's six agents: verified whale trades, Sentinel rug warnings, Hunter launch picks, momentum and narrative calls. Newest first.

  • get_whale_flows

    Verified on-chain whale trades ($10K+ DEX swaps) in the last 24h, combined per coin: buys vs sells in USD, net flow, number of wallets, plus the most active whale wallets. Also big Hyperliquid futures orders per coin (longs vs shorts…

  • get_launches

    New Solana tokens (under 7 days old, $10K+ liquidity) with an activity score, RugCheck safety label (safe / caution / risky), suspicious-volume flag (likely wash trading), liquidity, 24h volume and trades.

  • get_track_record

    How often ARC AI's agents were right: graded BUY / SELL / rug-warning calls over the last 30 days per agent, plus recent calls with the evidence each was graded on. Use it to decide how much weight to give a signal.

  • get_coin

    Price and 24h change for a coin plus ARC AI's own data on it: 24h whale buys/sells, the latest call from each agent (with that agent's graded accuracy) and its ARC AI listing score if listed.

  • search

    Search ARC AI for a coin or project by name or ticker: listed projects, tracked tokens with prices, published AI reports and news stories.

  • get_news

    Latest ARC AI market news stories (title, summary, coin, link). Stories include ARC AI's own whale and agent data where available.

How to connect

Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:

{
  "mcpServers": {
    "arcai": {
      "type": "http",
      "url": "https://arcai.io/mcp"
    }
  }
}

Add it

Claude Code, in a terminal

claude mcp add --transport http arcai https://arcai.io/mcp

Add to CursorAdd to VS Code

claude.ai, ChatGPT and other clients: add https://arcai.io/mcp as a custom connector in the settings.

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.