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kcp-harness — KCP compliance proxy

by Cantaraversion 0.4.1i★ 0iRuns on your computer
Registry nameno.cantara/kcp-harness

Install

Overview

Description from the maker (original English)

MCP compliance proxy between agent and tools: deterministic governance, fail-closed, audit trail.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Law & government data

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 2 of 2 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "kcp-harness": {
      "command": "npx",
      "args": [
        "-y",
        "kcp-harness",
        "serve"
      ]
    }
  }
}

Run this in your terminal

claude mcp add kcp-harness -- npx -y kcp-harness serve

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "kcp-harness": {
      "command": "npx",
      "args": [
        "-y",
        "kcp-harness",
        "serve"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "kcp-harness": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "kcp-harness",
        "serve"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 11, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain cantara.no (the registry checks domain ownership)

  • ✓ Pass

    Still maintained

    Code last changed 34 days ago

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Law & government datai

  • More stars than 0% of the other 1792 servers in this category
  • Published to the registry more recently than 17% of the other 1792 servers in this category
  • Basic checks equal to or better than 100% of the other 1792 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is kcp-harness — KCP compliance proxy safe?

It passed 2 of 2 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed 34 days ago, and the latest version (0.4.1) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Korean Law MCP, Tw Legal Rag, Parse-DMARC MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Korean Law MCP

Korean law: statutes, precedents, ordinances, treaties and citation verification (법제처 API).

by chrisryugjWidely used★ 2.9KUpdated 7 days ago

Runs in the cloud

Tw Legal Rag

Taiwan law MCP server: 22M court judgments, statutes, agency rulings, with citation checks

by aa0101181514Growing★ 345Updated 4 days ago

Runs in the cloud

Parse-DMARC MCP Server

Lightweight DMARC parser: auto-fetch email reports, visualize compliance in a single all-in-one app

by meysam81Growing★ 231Updated 9 months ago

Runs on your computer

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

kcp-harness

🧾 See it run — interactive KCP playground · read the reveal

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/)

Why

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 keepWhat 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.

Install

npm install -g kcp-harness

Or use without installing:

npx kcp-harness --help
Native executables

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

Quick start

1. Initialize
kcp-harness init          # creates harness.yaml
2. Generate agent integration
kcp-harness integrate claude-code    # or: pi, cursor, copilot, windsurf, cline, continue, crush, openclaw
3. Start coding

Your agent now routes knowledge access through the harness. Every decision is logged.

Supported agents

AgentConfigIntegration
Claude Code.mcp.json + PreToolUse hookskcp-harness integrate claude-code
Cursor.cursor/mcp.json + .mdc ruleskcp-harness integrate cursor
GitHub Copilot.vscode/mcp.json (uses "servers" key)kcp-harness integrate copilot
Windsurfglobal config + .windsurfruleskcp-harness integrate windsurf
ClineMCP settings + .clineruleskcp-harness integrate cline
Continue.continue/mcpServers/*.yamlkcp-harness integrate continue
Crushcrush.json + PrepareStepkcp-harness integrate crush
OpenClawopenclaw.json + plugin hookskcp-harness integrate openclaw
Pi.pi/mcp.json + project skillskcp-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.

How it works

Every tool call flows through a five-stage pipeline:

1. RECEIVE      MCP JSON-RPC request from agent
  1. CLASSIFY Knowledge-navigation or pass-through?
  2. GOVERN 14-gate cascade (audience → temporal → budget → ...)
  3. EXECUTE Call downstream tool / return content
  4. AUDIT Log decision to append-only audit log
Classifier

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.

Governor

Two automated modes, plus a human gate that outranks both:

  • Plan-first (fast path) — the agent calls kcp_plan first. The harness caches the approved plan. Subsequent reads are checked against the cached plan — no re-planning.
  • Auto-plan (fallback) — the agent reads a governed path without planning. The harness runs the planner automatically. Slower, but governance is enforced even for agents that don't know about kcp_plan.
  • Human approval — calls matching a 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.
The 14-gate cascade

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.

MCP tools

Once connected, agents can use these governance tools:

ToolDescription
kcp_planDeterministic load plan — which units, in what order, which skipped and why
kcp_loadPlan + load eligible unit content
kcp_traceFull 14-gate decision trace
kcp_validateLint a knowledge.yaml
harness_statusCurrent governance state
harness_sessionApproved plans + known units for this session
harness_budgetItemized spend tracking
harness_temporal_checkPlan drift detection
harness_approvalsHuman-approval tickets (pending / approved / dismissed / expired)
harness_assessConfidence-gate a synthesized answer before acting on it

Compliance artifacts

Audit log

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)'
Budget ledger

Append-only itemized spend tracking. Per-currency running totals. Ceiling enforcement — a load that would exceed the budget is rejected atomically (no partial loads).

Temporal governance

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.

Approval tickets

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.

Confidence verdicts

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.

Configuration

# harness.yaml

version: "1.0"

governance: domains:

  • manifest: "./knowledge.yaml" paths: ["docs/", "src/"]

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:

  • match: { tools: [Write, Edit], paths: [records/] } required_role: account-owner expires_after: 72h policy_ref: POL-7.2 grant: session # once | session | 15m / 4h / 1d (default: session) grant_max: 24h # hard cap on any approval's validity (default 24h)

require_signed_resolutions: true # + trusted_keys: verify signatures on every read (recommended)

require_args_binding: true # refuse grants not bound to the call's arguments (recommended)

audit: path: ".kcp-harness/audit.jsonl"

CLI

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 -

Only the beginning is shown; read the rest in the repo