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Phaedo Mcp

galavoxx/phaedo-mcp
STDIOregistry active
Summary

Injects a learned cognitive fingerprint into Claude sessions and lets agents consult you at decision points. The server loads your Phaedo profile (sample included, real one synced from their app via pairing) and provides two operations: style injection fires automatically at session start, and consultation requests return proceed/clarify/escalate/decline signals when an agent hits a judgment call, gated by user-authored deference policies. Everything runs locally over stdio with encrypted on-device storage. Reach for this if you want agents to mirror your communication patterns and decision-making style without rehashing context every time, or to audit agentic choices against a calibrated model of how you'd actually respond.

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Registryactive
Packagephaedo-mcp
TransportSTDIO
UpdatedJun 10, 2026
View on GitHub

Phaedo — your cognitive fingerprint, on every AI surface

npm license

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/ — the Phaedo Protocol's machine-readable JSON Schemas (fingerprint layers, consultation request/response, deference policies, receipts).
  • docs/protocol/ — the protocol 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.

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

Out of the box it serves a sample fingerprint, so every tool works immediately. Your real fingerprint comes from the Phaedo app — currently in private beta (phaedo.so) — learned on-device from your actual usage; pair with npm run pair. See mcp/README.md for the full guide (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.