Model Context Protocol · Agentic Suite

Cleanest
DeterministicTool Layer

Uncover bridges probabilistic LLM reasoning with deterministic execution. Atomic tools. Rich errors. Idempotent. The infrastructure that maximizes what intelligence can do.

Request Early Access See Architecture →
MCP
Core
3×
Core Layers
∞
Self-Improving
0ms
Trust Overhead
100%
Auditable
Architecture

Two worlds.
One clean interface.

Most agentic systems blur the line between reasoning and action. Uncover enforces a hard separation — the LLM reasons adaptively, the MCP server executes deterministically, and a continuous verification loop closes the gap between intent and outcome.

🧠
Probabilistic Reasoning
LLM Layer
Adaptive planning, task decomposition, failure diagnosis, skill selection, model routing decisions, and escalation logic. The intelligence layer that never executes directly.
MCP
🤖
Deterministic Execution
MCP Server
Precise, idempotent actions with rich structured errors. Every tool call is atomic, logged, and returns enough context for the reasoning layer to adapt intelligently.
01
Audit State
Capture the current system state via logs, service status, registry, and environment context before any action is taken.
02
Execute Tools
Atomic MCP tools perform precise actions — install, configure, restart, modify — each returning structured success or failure data.
03
Verify Diff
Re-audit and compare. The reasoning layer interprets the delta, decides if the objective was met, and plans the next step or escalates.
Multi-Agent System

Intelligence
with a chain of command.

Uncover isn't a single agent. It's a structured hierarchy where each role has clear responsibilities, escalation paths, and feedback contracts — designed to improve with every task it runs.

⚙️
Orchestrator
Central Command
The orchestrator receives tasks, determines whether further decomposition is needed, selects appropriate agents, injects relevant skills and tools at dispatch time, monitors execution, and decides when to escalate to a more capable model.
Task DecompositionModel RoutingSkill InjectionEscalation LogicTicket Creation
🔍
Audit Agent
State Observer
Observes and captures system state before and after execution. Produces structured diffs that the orchestrator can reason about to verify objective completion.
LogsState CaptureDiff Generation
🛠️
Executor Agent
Action Runner
Runs deterministic tool calls against the MCP server. Reports back structured session context — what worked, what failed, what was tried, and why.
Tool CallsSession LoggingFailure Reports
Failure Intelligence

Every failure
is structured signal.

When an agent hits a wall, it doesn't just fail — it files a typed incident ticket. The orchestrator reads the failure category and routes accordingly: retry with a skill injection, escalate to a stronger model, or surface to the human for policy decisions.

ticket_id: UCR-2024-0047
timestamp: 2024-02-14T03:12:44Z
agent: executor-agent-02
task: restart_service { target: "uncover.exe" }
failure_type: INSUFFICIENT_PRIVILEGE
attempted: Restart-Service "uncover.exe"
error: Access denied — requires elevation
diagnosis: Model attempted direct service call without UAC delegation
resolution: inject skill: windows_privilege_escalation_patterns
suggested: Start-Process pwsh -Verb RunAs -ArgumentList '...'
escalate_to: null
status: RESOLVED
Design Principles

Built on three
unbreakable constraints.

The tool layer is only as powerful as it is clean. Uncover's MCP server is designed around three properties that make probabilistic reasoning maximally effective.

Atomic
One tool.
One responsibility.
Each tool does exactly one thing and does it completely. No side effects bleed across boundaries. The reasoning layer can compose complex workflows from simple, predictable primitives.
Rich Errors
Failures are
first-class data.
Errors aren't just messages — they're typed, categorized, and enriched with enough context for the LLM to reason about what went wrong, why, and what to try next.
Idempotent
Run twice.
Same result.
Every tool is safe to retry. Agentic loops fail when tools have unpredictable side effects on repeat. Idempotency means the orchestrator can be aggressive about retries without fear.
Self-Improvement

The system that
rewrites itself.

Every resolved ticket is a potential system improvement. The orchestrator proposes structural changes to skills, tool definitions, and routing heuristics. You review. You approve. The system gets smarter.

🔴
Failure Occurs
Agent hits a wall. Session context captured with full diagnostic detail.
🔬
Orchestrator Diagnoses
Failure typed and categorized. Root cause isolated from symptom.
💡
Improvement Proposed
New skill, corrected tool definition, or updated routing heuristic drafted.
✅
Human Reviews
You approve, reject, or refine. Policy stays in human hands.
🟢
Fleet Improves
The fix propagates. Every agent benefits from what one agent learned.
Early Access

Build on the cleanest
deterministic layer.

Request Access

uncover.uptechllc.com · Built by UpTech LLC