What is VCP?

A protocol for portable, adaptive, live context across AI and services.

VCP is an open protocol that lets you define your preferences, constraints, and current state once, then let compatible AI services adapt where they support the relevant fields.

Three Properties That Matter

Today your context is fragmented across services, static, and invisible. VCP makes it portable, adaptive, and live.

Portability

Define your context once. Compatible AI services can receive supported fields with less re-entry and repetition.

Adaptation

Context can switch with your situation. Work mode at the office, personal mode at home, with supported profiles activated by the integration.

Liveness

User-declared state can shape tone and depth moment to moment where live updates are supported.

How It Works

You declare your context. VCP encodes it as structured data. Services read supported flags and adapt without seeing private reasons behind them.

You Set Context

Define your goals, constraints, and current state. Mark what is shareable and what stays private.

VCP Encodes It

Private circumstances become categorical flags. "Thin walls" becomes noise_restricted. The flag travels. Your story stays home.

Services Adapt

Compatible apps and AI services read supported flags and adjust. When your state changes, participating services can update in real time.

Topology · I-T-S-A-M-E + Registry

Seven concepts, one protocol surface.

L1 Identity naming, namespaces, registry, encoding WHO?

L2 Transport signed bundles, ed25519, MCP delivery HOW?

L3 Semantics CSM-1 grammar, personas, traits WHAT?

L4 Adaptation context encoding, state, decay WHEN?

L5 Messaging inter-agent exchange, escalation TO WHOM?

L6 Economics fiduciary constraints, auth, governance WHO PAYS?

REG Registry canonical storage, resolution, audit WHERE?

IDENTITY TRANSPORT SEMANTICS ADAPTATION MESSAGING ECONOMICS REGISTRY

Protocol layer topology

The Three-Layer Model

Within the Adaptation layer, VCP organizes context at three timescales — stable rules, shifting situations, and moment-to-moment state.

Constitutional Rules

What the AI should and should not do.

Personas, safety boundaries, rulesets, adherence levels

Changes rarely

Situational Context

Where, when, who, what occasion.

Morning vs. evening, alone vs. with children, home vs. work

Changes per session

Personal State

How you are right now.

Cognitive load, emotional tone, energy, urgency, body state

Changes moment to moment

Not a Magic Mirror

You declare your context. The AI adapts to what you share, not to what it guesses.

Common Approaches

VCP Approach

AI infers your state

You declare your state

Context locked to one platform

Context travels across platforms

Static profile, set and forget

Live state, updated where integrations support it

Platform decides what to share

You control what is shared

Works With MCP

VCP integrates natively with the Model Context Protocol (MCP). MCP is the delivery channel. VCP is the structured content it carries.

MCP

Transport

Connects AI agents to tools and data sources. The plumbing.

VCP

Policy

Encodes values, context, and constitutional rules. The meaning.

Any MCP-compatible agent can call VCP tools to discover what constitutional rules apply, encode the current context, and adapt behaviour accordingly. VCP also integrates via REST API, export artifacts, and GPT Actions.