
AI Anyone MCP server
Which MCP servers are AI Anyone'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 2026-10-19
- Registry namecom.aianyone/ai-anyoneverified in the MCP registry
The registry name sits under aianyone.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-19
- Tools4
- Server calls itselfAI Anyone
- Server version1.2.0
- Protocol version2025-06-18
On 2026-10-19 the server answered initialize and tools/list without a sign-in. First answer in 89 ms.
- Its tools do none of the product's use cases we checked: Hold spoken voice conversations with characters on calls; Follow a short course built around a chosen topic.
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.
- INITE MCP score72 of 100answers 100 · does the job 0 · definitions 100 · context 100 · connects 100
- What an agent can do with it0 of 2 use cases
- Answered100% of days10 of 10 daily checks
- Median first answer175 ms
- Space in an agent's context≈ 840 tokensthe definitions of all its tools (4), which an agent carries on every turn
- Tool definitionsA · 100 of 100
- Typed results0 of 4 toolsdeclared outputSchema: results come typed, read once
- Every tool passes all six checks.
What an agent can do with it
- not sure · Ask historical figures questions and keep following up
- cannot · Hold spoken voice conversations with characters on calls
- cannot · Follow a short course built around a chosen topic
Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?
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 →
find_someone_to_askUse this when someone wants a person to learn from but has not named one yet: "who should I learn negotiation from", "find me a stoic to talk to", "which historical figures are worth asking about leadership". Returns a grid of real people…
speak_as_personUse this when someone wants to hear FROM one specific person rather than about them: "what would Marcus Aurelius say about burnout", "answer as Carl Jung", "explain this the way Feynman would", "I want to talk to Socrates". Returns that…
debate_two_peopleUse this when someone wants two people to actually argue rather than be summarised: "have Nietzsche and Marcus Aurelius argue about suffering", "give me both sides", "steelman both positions on nuclear power", "I want to watch two experts…
debate_next_turnSubmit the line you just wrote and receive the next speaker and their private aim. Keep calling this until it returns done. Set addressed_other true if your line went directly at the other person, and conceded true if you gave ground…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"ai-anyone": {
"type": "http",
"url": "https://mcp.aianyone.com/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http aianyone https://mcp.aianyone.com/mcpclaude.ai, ChatGPT and other clients: add https://mcp.aianyone.com/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.
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