原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Actenon Kernel

作者:Actenon版本 1.2.2i★ –i在你的电脑上运行
注册名称io.github.Actenon/kernel

安装

概览

作者提供的说明(英文原文)

Verify consequential AI actions before they execute.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "kernel": {
      "command": "uvx",
      "args": [
        "actenon-kernel",
        "--demo"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add kernel -- uvx actenon-kernel --demo

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "kernel": {
      "command": "uvx",
      "args": [
        "actenon-kernel",
        "--demo"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "kernel": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "actenon-kernel",
        "--demo"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 Actenon 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32398 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32398 个服务器的 19% 更新
  • 基础检查结果等于或优于此分类中其他 32398 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Actenon Kernel 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.2.2)于3个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, AI Deprecations

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

AI Deprecations

作者:aideprecations.com

AI model shutdown dates, replacements, change feed and webhook alerts for 8 providers.

在云端运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Actenon Kernel

The open verifier for proof-bound consequential execution. Defines what a valid proof is. Verifies proofs at the execution edge; issues no grants; runs no policy decisions.

Every claim above is machine-verified

The claims: machine-verified badge links to a CI gate (verify-claims.yml) that fails on every PR, push to main, and once a day if any factual claim this README makes about the kernel stops being true:

  • Zero network calls during verification — tests/test_neutrality.py runs in the gate, not just behind a badge link.
  • Runs without Permit, Cloud, or Scan — tests/test_independence.py, plus a source scan proving the kernel never imports Cloud or Permit, plus scripts/assert_dep_direction.py (runtime deps are exactly actenon-protocol).
  • The conformance count — every "N conformance vectors" / "N tests pass" here is compared against what actenon-kernel conformance run actually executes; the vector files themselves are hash-locked by scripts/verify_conformance_manifest.py.
  • Install commands — every pip install in this README is resolved against the live registry; the Python badge is generated, not hand-edited.
  • The ecosystem table — rendered from the protocol's ecosystem.yaml, never hand-edited.

The Invariants workflow additionally proves on every PR that a clean, no-extras install verifies the full conformance surface — 33/33 tests, zero skips — including Ed25519.

If a claim drifts, the badge goes red before a human notices.


The Actenon ecosystem

The Kernel is one of the independent repositories that together close the execution gap — the gap between *upstream authorization* and the *execution edge* that actually performs a consequential side effect.

RepositoryRoleDepends onPackages
`actenon-protocol`The neutral wire contract — what every artefact looks like on the wire—actenon-protocol (PyPI) · @actenon/protocol-types (npm)
`actenon-kernel` ← you are hereThe open verifier — defines what a valid proof isactenon-protocolactenon-kernel (PyPI)
`actenon-permit`The developer on-ramp and authority brokeractenon-kernel, actenon-protocolactenon-permit (PyPI) · @actenon/sdk (npm)
`actenon-scan`The independent static-analysis scanner—actenon-scan (PyPI)
`sdk-go`Go verifier SDK — protected-endpoint proof verification in Goactenon-protocolrepo
`sdk-rust`Rust verifier SDK — protected-endpoint proof verification in Rustactenon-protocolrepo

Optional: actenon-cloud — a managed control plane (private repository, not publicly available). Not required by any component above; every capability in this ecosystem works without it.

Every repo can be adopted independently. The Kernel in particular can be wired in at the agent framework (LangChain tool, MCP tool, Claude Managed Agents custom tool, etc.) or independently at the resource boundary (FastAPI route, Express route, Go HTTP handler). Both placements are first-class.


What this is

The Kernel is the trust anchor of the Actenon ecosystem. It is:

  • Independent — runs without Permit, Cloud, or Scan. Zero network calls during verification.
  • The verifier at the execution edge — the PCCBVerifier is pure and stateless; the ProtectedExecutor enforces replay, escrow, idempotency, and credential brokering at the edge before any side effect, then emits the Receipt or Refusal.
  • Conformance-locked — 53 conformance vectors define exactly what "a valid PCCB" means, in any language.
  • Multi-language — Python reference, plus TypeScript, Go, and Rust verifier SDKs that all conform to the same vectors.
  • Framework-agnostic — proof verification is a function call, not a framework. The same verifier runs inside a LangChain _run, an MCP tool handler, an Express route, or a Go HTTP handler.

The Kernel does one thing: it verifies that a PCCB (Proof of Constrained Capability Bound) authorizes an exact Action Intent for this caller, this target, this audience, this scope, this time window, and this single execution attempt — and the ProtectedExecutor refuses the attempt (no side effect, structured Refusal emitted) if verification fails. The Kernel does not issue grants or make policy decisions — that's Permit's job.

Guarantee precondition: the edge guarantee holds when the protected edge is the only path to the resource, the backend accepts only brokered credentials issued after verification, and the agent has no standing credential or alternate route. If those conditions are not met, the Kernel still refuses invalid proofs — but it cannot prevent a caller that bypasses it from reaching the resource. Full scope in docs/SCOPE_AND_GUARANTEES.md.

Why it exists

Modern agent stacks already answer the upstream question — *should this requester be allowed to do this kind of thing?* — with authentication, policy engines, approval workflows, and audit logs. They still leave open the question the execution edge needs to answer:

Is the exact action about to execute still the exact action that was authorized — for this endpoint, this tenant, this subject, this target, and this time window?

That unanswered question is the execution gap. It is where parameter mutation between approval and execution, replay of valid-looking proof, presentation to the wrong endpoint, tenant/subject rebinding, and stale-proof reuse actually happen. The Kernel closes it.

Read the canonical problem statement in THE_EXECUTION_GAP.md.

The two places you can wire it in

This is the single most important architectural decision in any Actenon adoption, and the Kernel is explicitly designed for both placements.

Placement A — at the agent framework (brokered mode)

The Kernel verifier runs inside the agent's tool implementation. The agent calls a tool; the tool verifies proof; the tool executes. The agent never holds a production credential — the broker resolves it after verification.

agent → framework tool (LangChain / MCP / Claude / CrewAI / ...)

↓ verifies PCCB locally ↓ brokers credential ↓ executes side effect Receipt or Refusal

This is the path you take when you control the agent framework and want to bind every tool call to proof. See INTEGRATIONS.md for the six ranked framework paths.

Placement B — independently at the resource boundary (resource-owned mode)

The Kernel verifier runs inside the resource itself — a FastAPI route, an Express endpoint, a Go HTTP handler, an internal service method. The resource is the protected endpoint. The agent (or any caller) must present a valid PCCB to cause a side effect, regardless of how it got there.

any caller (agent / human / service / attacker)

↓ presents PCCB resource boundary (FastAPI / Express / Go / ...) ↓ verifies PCCB locally ↓ executes side effect Receipt or Refusal

This is the path you take when you cannot fully trust the agent framework, when the resource is shared by multiple callers, or when the resource team and the agent team are different organizations. See the Boundary Kit in actenon-permit and the BoundaryVerifier API in this repo. BoundaryVerifier verifies a signed PCCB against the exact Action Intent; it does not treat a token string as proof.

Both placements use the same Kernel, the same PCCB shape, the same conformance vectors, and the same Receipt/Refusal artefacts. You can mix them in one deployment.

The 15-step verification pipeline

PhaseStepsWhat's checked
A: Pre-auth1–5Structure, protocol version, canonicalisation, key resolution, signature
B: Post-auth6–13Time validity, audience, boundary, target, action, parameter digest, authority, revocation
C: Stateful14–15Replay (deferred to executor), execution eligibility

Pre-auth failures collapse to a single public-safe code PROOF_INVALID. Post-auth failures disclose the specific code (AUDIENCE_MISMATCH, ACTION_MISMATCH, REPLAY_DETECTED, etc.) only to trusted callers. This two-layer refusal model is part of the protocol — see actenon-protocol.

What the Kernel produces

ArtefactPurposeSpec
Action IntentThe public, typed, attributable request for a consequential actionspec/action-intent/SPEC.md
PCCBThe proof artifact a protected endpoint verifies before side effectsspec/pccb/SPEC.md
ReceiptThe canonical structured success outcomespec/receipt/SPEC.md
RefusalThe canonical structured blocked-execution outcomespec/refusal/SPEC.md
Outcome AttestationOptional Ed25519-signed envelope wrapping a Receipt or Refusal (v2alpha1)spec/outcome-attestation/SPEC.md
Receipt Counter-SignatureOptional third-party counter-sign on a Receiptspec/countersignature/SPEC.md
Transparency Log EntryOptional digest-based public anchorspec/transparency-log/SPEC.md
Issuer Status

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