Your MCP / API access key connects a compatible ChatGPT, Claude, Codex, Cursor or other AI session to MetaCloud. The model stays with its provider; MetaCore wraps it in an operating work layer: role, your goal context, continuity and expert tools within the rights you grant. Scattered chats become structured work with you and your vision.
MetaCore is AI coherence infrastructure for people, teams and projects.
It connects context, memory, workflow,
modules and human decision into one continuous system.
01
For everyday users: less chaos, more clarity, better understanding of yourself, relationships and decisions.
02
For developers: AI gets not just a prompt but a work layer: context, state, files, modules and continuity.
03
For business: one AI workspace for teams, processes, clients, decisions and coordinated action.
04
For investors: not one chatbot but a multi-layer infrastructure: Engine, Cloud, Codex, Quantum, Team.
01
Context
02
Patterns
03
Scenarios
04
Coordination
05
Human Decision
YOUR AI · A NEW WORKING MODE
Your model becomes a more capable AI collaborator.
Keep your model. Give it a clear, checkable way to work.
MetaCore does not change the model's weights. It adds work context, an AI Persona role, expert methods and boundaries set by the human. Beyond one-off answers, your AI can guide a task more consistently, suggest the next step and show work you can check.
Through an authorized MCP connection, a human grants selected AI sessions access to their connected resources. Provider models stay different, but in the MetaCore work field they can act as a coordinated AI Persona team: shared project context, clear roles and rights granted per session.
01Human grants the keyChooses AI providers, connects resources and sets access limits.
02AI gets the M layerEach authorized session works as a Persona with role, context and continuity.
03Master AI + workersWith team roles on, tasks are assigned and handed off in one field.
04One governed spaceThe team reaches only files, tools and systems the human connected and allowed.
01
Many providers, one context
ChatGPT, Claude, Gemini or other compatible sessions keep their model strengths while using the same MetaCore work state within rights.
02
Clear team hierarchy
A Master AI role can coordinate direction and handoffs; specialist AI Personas do their tasks. The human sets goals and owns material decisions.
03
Resources without chaos
Files, project state, outputs and connected tools live in one governed field. Actions, writeback and deeper integrations depend on granted scope.
MetaCloud 1 GB opens the door to a shared AI workspace.Bridge is the base path. MCP, API, team coordination, SSH and deeper execution open by active product, role, connection and granted rights.
These are the public MCP doors into MetaCore. Enter these fields in your AI client (Cursor, Claude, ChatGPT, etc.). The Token KEY is not in this table: take it from your account after activating a MetaCloud package. For a quick trial, request DELTA test keys; we will confirm the scope and issuance in our reply.
Field
Value
MCP URL
https://metacore.lt/mcp/sse
Client ID
555fb076-87ac-4415-b3be-ff702c1d3bca
Client Secret
(empty)
Authorization URL
https://metacore.lt/mcp/authorize
Token URL
https://metacore.lt/mcp/token
Scope
iskra:l2
Auth method
PKCE only
METACORE OS · METACLOUD · AI PERSONA
One context. Seven directions.
Cognitive / Context Core connects meaning, relationships and decisions. MetaCloud gives that context a continuing workspace for your files, plans and results — whether you work alone, with family or with a team.
Capabilities depend on your plan, enabled modules and granted permissions. People make the decisions.
01For individuals
More clarity in everyday life.
Keep thoughts, important questions and previous decisions together. An AI Persona helps review them, connect the dots and prepare your next step.
Lesson ideas, materials and teacher observations form a continuing workspace. AI helps with preparation; educational decisions remain with the teacher.
Connect coaching plans, team agreements and training notes in a consistent context. AI helps organise information; training-load decisions remain with qualified professionals.
The market is full of chatbots, automation and standalone AI tools.
MetaCore takes a different path: a layer that connects context, memory,
modules, team coordination and human decision clarity.
Technical backbone: Bridge, Memory Continuity, Control Panel, KR wallet, modules.
Brand axis: less chaos, more context, clearer decisions.
METACORE CORE
Models answer. Work needs context, meaning and continuity.
Context / Cognitive Core supplies the meaning layer; MetaCloud and Bridge turn it into a continuing work system. The model may change — context, verified state and operating architecture remain.
Signal→Meaning→Context→Action→Continuity
DELTA TEST · PROOF LAYER
Same scenario. Different operating layer.
Delta Test shows how MetaCore differs from a plain strong AI answer.
Standard AI gives advice. MetaCore turns the same scenario into
a decision structure: gates, roles, risks, scenario tree, communication and a continuity cycle.
Baseline: strong models often explain what to consider.
MetaCore: structures how to decide and what to do next.
Delta: advice → architecture, from advice to an actionable plan.
Proof: real scenarios, criteria, scores and operational comparison.
Bridge connects the human goal, the AI Persona and action.
The human sets the goal and grants access. MetaCore Bridge gives the AI Persona the project context it needs, continuing work state and allowed tools. AI can work within the granted bounds and leave a verifiable result. When an action is consequential, irreversible or unclear, the human decides.
Human goal and accessAI Persona with MContext and continuityAllowed toolsHuman decides at the boundary
01 · Human goal
From vision to a clear task.
Only the goals, project state and context allowed for this task are passed to the AI Persona.
02 · AI Persona
The model works with a role and bounds.
The MetaCore operating layer supplies work rules and context; the model stays with its provider.
03 · Continuity
Work does not end with one session.
Saved results, files and work state let you continue from the previous step.
04 · Tools
Action only within granted scope.
MCP and API connections open linked resources; broader capability depends on granted access.
ONE CORE · FOUR WORK LAYERS
From understanding a situation to getting work done.
Context Engine, MetaCloud, Leadership and Codex connect different parts of the same work. Choose what you need now and add other layers as your needs grow.
M
Shared context. Work that continues.
Cognitive / Context Core connects meaning, relationships and decisions. MetaCloud keeps work state and files so that you can pick up where you left off.
01UNDERSTAND
Context Engine
See the situation more clearly.
Context for a person, project or organisation: important questions, relationships and past decisions. A starting point for reflection and the next step.
02KEEP AND CONTINUE
MetaCloud Workspace
Avoid starting over every time.
A private space for files, tasks, notes and results. Work history and verified state carry across authorised AI sessions.
03WORK TOGETHER
Leadership & Teams
Give your team a shared direction.
Shared project context, roles, scenarios and decision history. Clarify who is responsible and what to hand over next.
04PUT INTO ACTION
MetaCore Codex
Move from a plan to a result.
A workspace for code, data, systems and integrations. Execution follows granted permissions, and results need to be checked.
Start with your own workspace.
MetaCloud 1 GB is a first step. Choose other layers around your actual work needs.
Capabilities depend on the plan, enabled modules and granted permissions. Important decisions remain with people. Plans and activation come next.
MetaCore · three work layers
The same strong model. Three work layers.
Layer one — a strong AI answer. Layer two — tools and memory. At layer three MetaCore joins the human goal, role, project context, allowed actions and continuing state. The model stays with its provider.
01 · MODELA strong AI answerThe model analyses and creates. Shared work state is still needed for project continuity.
02 · TOOLSMore capabilityFiles, search, API and memory help complete more steps. Work context can remain fragmented.
03 · METACORE OSAI Persona and continuing workRole, shared context, allowed tools and saved state. Material decisions stay with the human.
Δ
MetaCore gives the model a work architecture.The AI session works with a clear role, project context and granted rights. Results can remain in the workspace and continue in another session.
MetaCore · public ecosystem
One MetaCore field. Six spaces for different work.
Six public directions help you understand a situation, compare results, improve communication, work as a team, learn and care for daily rhythm. A shared context, access and continuity layer joins them into one MetaCore work field under granted rights.
MetaCore is Cognitive Context + Operational Continuity infrastructure where human context, AI model, Bridge, memory, modules and workspace connect into one continuous system.
COGNITIVE CORE · PUBLIC PROJECTION
Context Intelligence — public projection of Cognitive Core
Context Engine is one public surface of the Cognitive Core. It connects profile context, human understanding, relationship dynamics, decision logic and scenario simulation into one continuous work system.
01
Context Engine
Analyses layers of time, cycles, situation and historical context.
This helps AI see not only a single question but the broader human path.
02
Human Understanding Layer
Helps model human reactions, inner conflicts, strengths,
weak spots and recurring behaviour patterns.
03
Leadership Layer
Used for work with teams, roles, decision-making,
conflicts and group dynamics simulations.
04
Scenario Simulation
Lets AI model possible choice paths, consequences and decision
windows so the human sees more than one option.
MetaCore does not predict fate.
It structures context, recognises patterns and helps the human better
understand their field of possibilities.
Your profile. Relationships, cycles and possible scenarios.
Context Engine brings profile analysis, life cycles, relationship context and scenario modelling into one engine. Explore your themes, compare possible choices and keep human judgement at the centre.
✓All features described below are available in Context Engine.
An illustration of the Context Engine profile, cycles, relationships and scenario engine.
01PROFILE
Understand your context.
Profile analysis connects initial context, active themes and reflection. Distinguish your experience from its interpretation.
02CYCLES AND RHYTHMS
Explore change over time.
Explore life stages, time cycles and recurring themes. A perspective for reflection, not a prediction of an inevitable future.
03RELATIONSHIPS AND TEAMS
Understand shared dynamics.
Relationship and group context helps explore interactions between profiles, roles, shared themes and possible tensions.
04SCENARIOS
Compare possible paths.
Model personal or team scenarios, change assumptions and compare possible consequences. You make the decision.
Open your Context Engine.
Profile, cycles, relationships and scenarios — in one workspace.
An interpretive tool for self-reflection. Symbolic interpretations are perspectives to consider, not verified facts about a person. This is not a forecast, diagnosis or a substitute for advice from a doctor, psychologist or lawyer.
Where to go next?
You understand the architecture — now you can return to the practical path.
`/index` explains how MetaCore works under the hood. The practical user path starts
from the main page, Context Engine trial or starter KR via Activate.
MetaCore connects AI models with Cognitive Context, persistent work state, roles, authority and verified continuity. The point is not another chatbot, but a governed operating layer that preserves meaning while work moves into action.
Public framing: Core modules speak about context, continuity and action. Reflection / Experience modules are self-reflection and experience layers, not diagnosis and not deterministic claims.
LET’S TALK · METACLOUD
Your situation. A clear next step.
Want to get started, explore the possibilities or connect your team? Tell us what matters to you — we will help you choose a suitable path.
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