Server data from the Official MCP Registry
Carry your Phaedo cognitive fingerprint into any MCP client: injection, consults, escalation.
About
Carry your Phaedo cognitive fingerprint into any MCP client: injection, consults, escalation.
Security Report
The MCP server implements a cognitive fingerprint protocol with reasonable security architecture. Authentication is absent by design (it operates over stdio and relies on process-level isolation), which is appropriate for an MCP server. The main concerns are moderate-severity code quality issues around input validation and error handling, combined with the sensitive nature of the data being processed (personal behavioral profiles). The server appropriately avoids exfiltration and unsafe operations, but input validation could be more comprehensive. Supply chain analysis found 1 known vulnerability in dependencies (0 critical, 1 high severity). Package verification found 1 issue.
3 files analyzed · 9 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
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 GitHubFrom 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-mcpon 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 calibratedproceed / clarify / escalate / declinesignal (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
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.
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