How do I install Phaedo?

Phaedo is a local plugin. Install it using npm package: phaedo-mcp and add the generated configuration snippet to your AI app's MCP config file. Then restart your AI app.

Is Phaedo safe to use?

Yes. Phaedo passed MCP Marketplace's automated security scan with a score of 8.5/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What AI apps work with Phaedo?

Phaedo uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Phaedo MCP Server

by Phaedo Labs

Developer ToolsLow Risk8.5MCP RegistryLocal

Free

Server data from the Official MCP Registry

Make AI apps answer your way, check with you before acting, and get approvals on your phone.

About

Make AI apps answer your way, check with you before acting, and get approvals on your phone.

Security Report

8.5

Low Risk8.5Low Risk

Valid MCP server (2 strong, 3 medium validity signals). 2 known CVEs in dependencies (0 critical, 1 high severity) Package registry verified. Imported from the Official MCP Registry.

5 files analyzed · 3 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

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How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-phaedo-labs-phaedo-mcp": {
      "args": [
        "-y",
        "phaedo-mcp"
      ],
      "command": "npx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Phaedo — your cognitive fingerprint, on every AI surface

Phaedo learns how you think — communication style, working style, decision pattern — into a portable, user-owned cognitive fingerprint, and carries it to any AI tool. This repo is the open half of that system:

spec/ — Anamnesis (formerly "Phaedo Protocol"), the open cognitive-fingerprint standard: machine-readable JSON Schemas (fingerprint layers, consultation request/response, deference policies, receipts) + the conformance suite.
docs/protocol/ — the Anamnesis spec (v0.1), the MCP binding, and accepted proposals.
mcp/ — the reference MCP server (phaedo-mcp on npm): injects your fingerprint at session start and answers agent consultations — an agent at a decision point can ask "would my human proceed here?" and get a calibrated proceed / clarify / escalate / decline signal (or an honest abstain), gated by user-authored deference policies, with an encrypted on-device audit trail. On a blocking signal it can escalate to your paired phone in real time for a live approve / deny / modify, and your overrides teach the act-as-me channel — how you want delegated work handled, not just how you work yourself.

Quick start

npx phaedo-mcp        # run the server over stdio

Or wire it into Claude Desktop / Cursor / Claude Code automatically:

npm install -g phaedo-mcp
cd "$(npm root -g)/phaedo-mcp" && npm run setup

Your full fingerprint comes from the Phaedo phone app, learned on-device from your actual usage. The app isn't open to the public yet (phaedo.so has a link to hear when it is). Without it, if you use Claude Code, the server builds a starter profile on your computer from your own sessions (npm run setup:code-hook). With neither, it says plainly that there is no profile; it does not guess. To try it with a made-up example profile, set PHAEDO_FINGERPRINT=sample. See mcp/README.md for the full guide (the starter profile, trying the example, pairing, policies, receipts, the agreement metric).

Design commitments

User-owned & local. The fingerprint lives on your devices, encrypted; the server holds no plaintext at rest. Nothing is sent to any Phaedo service.
Signals out, never structure. Consultations return a signal + confidence — never fingerprint internals (spec §10.4).
Honest abstention. No coverage → insufficient_signal, not a confident guess.
User-authored guardrails win. Deference policies (§10.5) override any inferred signal; standing authorizations are explicit and auditable (§10.6).

What's not in this repo

The learning pipeline that builds fingerprints (conversation capture, on-device extraction models) is Phaedo's proprietary side. This repo is everything a client, agent, or independent producer needs to consume and interoperate: the spec, the schemas, and a complete reference server.

License

Apache-2.0. The Phaedo name and logo are trademarks; see phaedo.so.

Reviews

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4.7

Local

MCP Marketplace

Free

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