USVI Public Records
Search and read U.S. Virgin Islands public records: laws, court records, audits, hearings, reports.
제작자가 쓴 설명(영어 원문)
MCP compliance proxy between agent and tools: deterministic governance, fail-closed, audit trail.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"kcp-harness": {
"command": "npx",
"args": [
"-y",
"kcp-harness",
"serve"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add kcp-harness -- npx -y kcp-harness serve프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"kcp-harness": {
"command": "npx",
"args": [
"-y",
"kcp-harness",
"serve"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"kcp-harness": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"kcp-harness",
"serve"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리 이름이 도메인 cantara.no 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.4.1)은 4개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: USVI Public Records, Korean Government Documents (HWPX), Korea Tax Law
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Search and read U.S. Virgin Islands public records: laws, court records, audits, hearings, reports.
Turns a draft into a Korean government report or press release as HWPX in each ministry's format
Korea tax law: NTS rulings, court/tribunal decisions, basic rules, treaties, point-in-time statutes
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Deterministic knowledge governance for any AI agent.
*Your agent can read every file in your project. Can it prove why it read what it read?*
KCP Harness is an MCP compliance proxy that sits between an AI coding agent and its tools. It intercepts knowledge-related calls, routes them through the kcp-agent deterministic planner (14-gate cascade, no LLM), and produces compliance artifacts — decision traces, audit logs, budget ledgers — as a side effect of normal agent operation.
The agent can't bypass governance because it only talks to the proxy's MCP interface. The proxy decides what knowledge is accessible, tracks spend, and logs every decision. Fail-closed: if the harness can't verify a request, the agent gets nothing.
Agent (Claude Code / Cursor / Copilot / Windsurf / Cline / Crush / OpenClaw / ...)
│ │ MCP tool call v ┌─────────────────────────────────────────────────────────┐ │ kcp-harness │ │ │ │ classify → govern (14 gates) → execute → audit │ │ │ │ Side outputs: │ │ · Decision traces (per-request, deterministic) │ │ · Audit log (append-only JSONL) │ │ · Budget ledger (itemized, ceiling-enforced) │ │ · Temporal drift (plan validity over time) │ │ · Approval tickets (named-human sign-off, durable) │ │ · Confidence verdicts (post-synthesis gate) │ └─────────────────────────────────────────────────────────┘ │ v Knowledge manifests (knowledge.yaml)
[Documentation →](https://cantara.github.io/kcp-harness/)
Enterprises need agents that are *defensible* — auditable, reproducible, budget-controlled, temporally pinned. Today's agents can't prove why they read what they read. The harness adds a compliance layer without replacing the agent.
| What you keep | What the harness adds |
|---|---|
| Your agent (Claude Code, Cursor, Copilot, ...) | Deterministic knowledge selection |
| Your workflow (coding, reviewing, shipping) | Decision traces (14 gates per unit) |
| Your tools (MCP servers, shell, browser) | Budget enforcement (ceiling, per-currency) |
| Temporal governance (drift detection) | |
| Append-only audit log | |
| Replay / cross-examination | |
| Human-approval gates (named reviewer + policy citation) | |
| Confidence gating (post-synthesis, route-to-human) |
You sell the compliance layer. The agents are pluggable.
npm install -g kcp-harness
Or use without installing:
npx kcp-harness --help
Pre-built binaries (no Node/Deno required) for Linux x64/arm64, macOS x64/arm64, and Windows x64 — grab them from a release. To build one yourself:
npm ci && npm run build
deno compile --allow-read --allow-env --allow-net --allow-run \ --node-modules-dir=auto --output kcp-harness dist/cli.js
kcp-harness init # creates harness.yaml
kcp-harness integrate claude-code # or: pi, cursor, copilot, windsurf, cline, continue, crush, openclaw
Your agent now routes knowledge access through the harness. Every decision is logged.
| Agent | Config | Integration |
|---|---|---|
| Claude Code | .mcp.json + PreToolUse hooks | kcp-harness integrate claude-code |
| Cursor | .cursor/mcp.json + .mdc rules | kcp-harness integrate cursor |
| GitHub Copilot | .vscode/mcp.json (uses "servers" key) | kcp-harness integrate copilot |
| Windsurf | global config + .windsurfrules | kcp-harness integrate windsurf |
| Cline | MCP settings + .clinerules | kcp-harness integrate cline |
| Continue | .continue/mcpServers/*.yaml | kcp-harness integrate continue |
| Crush | crush.json + PrepareStep | kcp-harness integrate crush |
| OpenClaw | openclaw.json + plugin hooks | kcp-harness integrate openclaw |
| Pi | .pi/mcp.json + project skills | kcp-harness integrate pi |
Each agent has its own MCP config format, rules file, and quirks. The integrate command handles them all — one governance layer, any agent.
Every tool call flows through a five-stage pipeline:
1. RECEIVE MCP JSON-RPC request from agent
The classifier examines each tool call and determines whether it targets governed knowledge. Read("docs/api.md") where docs/ is governed? Route through the planner. Read("package.json") where package.json isn't governed? Pass through. KCP tools (kcp_plan, kcp_load) are always governed.
Two automated modes, plus a human gate that outranks both:
kcp_plan first. The harness caches the approved plan. Subsequent reads are checked against the cached plan — no re-planning.kcp_plan.governance.approvals rule are held for a named reviewer (pending), no matter what the automated paths would decide. Tickets survive restarts and resolve via the kcp-harness approvals CLI (or any custom ApprovalProvider channel). Resolutions require a named reviewer *and* a policy citation.Every knowledge unit is evaluated through 14 deterministic gates, in order:
audience → not_for → temporal → deprecated → supersession → relevance →
skill_eligibility → attestation → payment → access → strict → max_units → money_budget → context_budget
A unit must pass all gates. The gate that blocks it is recorded in the decision trace. Same inputs → same plan. No model involved.
For the skill_eligibility gate's subject matter — governed kind: skill units — the authoring conventions, linter, and conformance vectors live in Cantara/kcp-skill.
Once connected, agents can use these governance tools:
| Tool | Description |
|---|---|
kcp_plan | Deterministic load plan — which units, in what order, which skipped and why |
kcp_load | Plan + load eligible unit content |
kcp_trace | Full 14-gate decision trace |
kcp_validate | Lint a knowledge.yaml |
harness_status | Current governance state |
harness_session | Approved plans + known units for this session |
harness_budget | Itemized spend tracking |
harness_temporal_check | Plan drift detection |
harness_approvals | Human-approval tickets (pending / approved / dismissed / expired) |
harness_assess | Confidence-gate a synthesized answer before acting on it |
Append-only JSONL. Every decision — governed or pass-through — is logged with sequence number, timestamp, tool, targets, and governance decision:
cat .kcp-harness/audit.jsonl | jq 'select(.governed == true)'
Append-only itemized spend tracking. Per-currency running totals. Ceiling enforcement — a load that would exceed the budget is rejected atomically (no partial loads).
Plans are registered with a temporal watcher. On subsequent calls, the watcher re-evaluates against the current time. If units have drifted (expired, newly valid), the harness emits a drift event. Long-running sessions stay honest.
Calls matching an approval rule open a durable ticket (pending_review → approved | dismissed | expired, plus used for a consumed one-shot grant). The ticket store survives restarts — sessions are ephemeral, human review is not. Every resolution records *who* approved, *when*, and *which policy* it satisfies — evidence generated at approval time, never reconstructed from logs.
An approval is a bounded grant, never a standing permission. It covers the session that opened the ticket, the exact tool and target, and the call's arguments digest — and it lapses. Each rule sets grant: once | session | (default session), always capped by governance.approvals.grant_max (default 24h). A call outside a valid grant is denied, audited as grant_denied (expired, wrong_session, used, ...) and opens a *new* ticket. A standing permission is a policy rule, not a click. A grant's window is measured from the store's own clock, not the reviewer-supplied reviewedAt; the first valid resolution of a ticket wins (a dismissed ticket cannot be re-approved by an appended line); with approvals.require_signed_resolutions signatures are verified on every read, not only in resolve(); and approvals.require_args_binding refuses grants from tickets not bound to the call's arguments. What the ticket store does *not* protect — write access to its directory — is stated in the Ticket store trust model. See Governance Model.
harness_assess runs kcp-agent's post-synthesis assess() over a synthesized answer before it may be acted on. The planner gates *loading*, grounding gates *asserting*, this gates *acting*. Below-threshold verdicts on routed configs open an approval ticket with the full verdict embedded as evidence.
# harness.yaml
version: "1.0"
governance: domains:
policy: fail_closed: true audit_all: true max_units: 5 budget: amount: 1.00 currency: USDC
confidence: # optional post-synthesis gate (harness_assess) threshold: 0.7 severity: critical route_to_role: account-owner
approvals: # optional human-approval gates provider: file rules:
require_args_binding: true # refuse grants not bound to the call's arguments (recommended)
audit: path: ".kcp-harness/audit.jsonl"
kcp-harness serve [--config harness.yaml] Start the MCP proxy
kcp-harness init Create a harness.yaml template kcp-harness check [--config harness.yaml] Validate configuration kcp-harness integrate [options] Generate agent integration files kcp-harness integrate --list List supported agents kcp-harness export [options] Export compliance evidence (SOC 2 / ISO 27001) kcp-harness dashboard [options] Launch the live compliance dashboard kcp-harness approvals list [--state s] List human-approval tickets kcp-harness approvals approve --reviewer --policy-ref kcp-harness approvals dismiss --reviewer -
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요