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。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Attest

作者:dev-prathap版本 0.1.0i★ –i在你的电脑上运行
注册名称io.github.dev-prathap/attest

安装

概览

作者提供的说明(英文原文)

Decide by policy, gate behind a human, verify by read-back, record a hash-chained ledger.

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: 会计、财务与税务
  • 你需要填写:GMAIL_TOKEN, GOOGLE_TOKEN, SLACK_BOT_TOKEN, HUBSPOT_TOKEN, NOTION_TOKEN, LINEAR_API_KEY, GRAPH_TOKEN

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)。
  • 需要你自己填写: ATTEST_POLICY, ATTEST_LEDGER, ATTEST_AUTO_APPROVE, ATTEST_CONFIRM_TIMEOUT, GMAIL_TOKEN, GOOGLE_TOKEN, SLACK_BOT_TOKEN, HUBSPOT_TOKEN, NOTION_TOKEN, LINEAR_API_KEY, GRAPH_TOKEN

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

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": {
    "attest": {
      "command": "uvx",
      "args": [
        "attestlayer"
      ],
      "env": {
        "ATTEST_POLICY": "your-value",
        "ATTEST_LEDGER": "your-value",
        "ATTEST_AUTO_APPROVE": "your-value",
        "ATTEST_CONFIRM_TIMEOUT": "your-value",
        "GMAIL_TOKEN": "your-value",
        "GOOGLE_TOKEN": "your-value",
        "SLACK_BOT_TOKEN": "your-value",
        "HUBSPOT_TOKEN": "your-value",
        "NOTION_TOKEN": "your-value",
        "LINEAR_API_KEY": "your-value",
        "GRAPH_TOKEN": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add attest --env ATTEST_POLICY=your-value --env ATTEST_LEDGER=your-value --env ATTEST_AUTO_APPROVE=your-value --env ATTEST_CONFIRM_TIMEOUT=your-value --env GMAIL_TOKEN=your-value --env GOOGLE_TOKEN=your-value --env SLACK_BOT_TOKEN=your-value --env HUBSPOT_TOKEN=your-value --env NOTION_TOKEN=your-value --env LINEAR_API_KEY=your-value --env GRAPH_TOKEN=your-value -- uvx attestlayer

运行前请先填写空着的值。

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": {
    "attest": {
      "command": "uvx",
      "args": [
        "attestlayer"
      ],
      "env": {
        "ATTEST_POLICY": "your-value",
        "ATTEST_LEDGER": "your-value",
        "ATTEST_AUTO_APPROVE": "your-value",
        "ATTEST_CONFIRM_TIMEOUT": "your-value",
        "GMAIL_TOKEN": "your-value",
        "GOOGLE_TOKEN": "your-value",
        "SLACK_BOT_TOKEN": "your-value",
        "HUBSPOT_TOKEN": "your-value",
        "NOTION_TOKEN": "your-value",
        "LINEAR_API_KEY": "your-value",
        "GRAPH_TOKEN": "your-value"
      }
    }
  }
}

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": {
    "attest": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "attestlayer"
      ],
      "env": {
        "ATTEST_POLICY": "your-value",
        "ATTEST_LEDGER": "your-value",
        "ATTEST_AUTO_APPROVE": "your-value",
        "ATTEST_CONFIRM_TIMEOUT": "your-value",
        "GMAIL_TOKEN": "your-value",
        "GOOGLE_TOKEN": "your-value",
        "SLACK_BOT_TOKEN": "your-value",
        "HUBSPOT_TOKEN": "your-value",
        "NOTION_TOKEN": "your-value",
        "LINEAR_API_KEY": "your-value",
        "GRAPH_TOKEN": "your-value"
      }
    }
  }
}

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。

需要你填写的值

  • ATTEST_POLICY env
    Path to a policy YAML (defaults to ./attest.yaml or the built-in default)
  • ATTEST_LEDGER env
    Ledger SQLite path (default .attest/ledger.sqlite)
  • ATTEST_AUTO_APPROVE env
    Set to 1 to approve every confirm request (development only)
  • ATTEST_CONFIRM_TIMEOUT env
    Seconds attest_confirm waits for a human (default 900)
  • GMAIL_TOKEN 机密 env
    Google OAuth access token with gmail.readonly — enables Gmail read-back
  • GOOGLE_TOKEN 机密 env
    Google OAuth access token — enables Calendar / Drive / Docs / Sheets read-back
  • SLACK_BOT_TOKEN 机密 env
    Slack bot token (xoxb-…) with channels:history, channels:read — enables Slack read-back
  • HUBSPOT_TOKEN 机密 env
    HubSpot private-app token — enables HubSpot read-back
  • NOTION_TOKEN 机密 env
    Notion integration token — enables Notion read-back
  • LINEAR_API_KEY 机密 env
    Linear API key — enables Linear read-back
  • GRAPH_TOKEN 机密 env
    Microsoft Graph token — enables Outlook / Teams read-back

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 dev-prathap 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“会计、财务与税务”中的其他服务器比较i

  • 星标数多于此分类中其他 1720 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1720 个服务器的 45% 更新
  • 基础检查结果等于或优于此分类中其他 1720 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

Attest 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?

你需要填写:GMAIL_TOKEN, GOOGLE_TOKEN, SLACK_BOT_TOKEN, HUBSPOT_TOKEN, NOTION_TOKEN, LINEAR_API_KEY, GRAPH_TOKEN

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(0.1.0)于2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:Finance Toolkit, SolidInvoice, Korea Tax Calculator

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

Finance Toolkit

作者:JerBouma

500+ transparent financial methods calculated from raw statements, not third-party endpoints.

电脑或云端★ 5,496MIT昨天更新
安装

SolidInvoice

作者:SolidInvoice

Create and send invoices and quotes, manage clients, and track payments in SolidInvoice.

在云端运行★ 981MIT7天前更新
安装

Korea Tax Calculator

作者:UpstageAI

Korean tax calculation and tax-audit judgment MCP: 96 tools with statutory citations.

在你的电脑上运行★ 97MIT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。

Attest — prove what your AI agent actually did

Decide → Gate → Verify → Attest. Your agent sends the email, updates the CRM, moves the money. Attest decides whether it may, gates it behind a human when it matters, reads back from the system of record to check it actually happened, and records tamper-evident evidence either way.

Attest never executes your action. Your tool does. That is why it works with any app and any framework on day one.

Your agent says it worked. Did it?

Two identical CRM writes, both reported success by the tool, both approved by a human:

$ attest ledger

#2 2026-09-19 10:16:46 someweirdcrm.create → leads ask approved unverified a09e7641db12 #1 2026-09-19 10:16:46 someweirdcrm.create → leads ask approved verified 77a6d99a60f6

The second one read back clean. The first did not, and the ledger says which field disagreed:

{ "level": "unverified", "matched": false,

"evidence": { "compared": 4, "exists": true, "failed": ["stage"], "fields": { "stage": { "want": "qualified", "got": "new", "ok": false } } } }

A trace would have shown two green steps. That gap is the entire product.

Install

pip install attestlayer          # Python

npm install attestlayer # TypeScript — byte-identical ledger format

import attest

@attest.action(system="gmail", verb="send", target="to") def send_email(to, subject, body): ...

import { Attest } from "attestlayer";

const at = new Attest({ agent: "followup-agent@v3", readers: { gmail: process.env.GMAIL_TOKEN! } }); const sendEmail = at.wrap({ system: "gmail", verb: "send", target: "to" }, async ({ to, subject, body }) => gmail.send({ to, subject, body }));

That is the whole change. The first external send now pauses for a human, and the ledger row says acknowledged, or verified once Attest can read back with the agent's own credentials (Attest(readers={"gmail": service})). Nothing else in your code moves.

Verification is layered, and it never overstates

Every row states exactly how much was checked. A check that could not run is never dressed up as a pass.

levelwhat it means
verifiedread back from the system of record, and the fields matched
verified-customyour own check ran and passed
acknowledgedthe action was accepted, but no read-back could run here
attested-onlyrecorded with no verifier available for this action
unverifieda check ran and contradicted the claim

Only a contradiction earns unverified. Missing credentials, a read-only scope or an unsupported verb degrade to acknowledged, because "we could not check" and "it did not happen" are different facts.

Where it plugs in

surfacehow
Decorator / wrapper@attest.action(...) · at.wrap(...)
LangGraphtool node wrapper, gate as a graph interrupt
OpenAI Agents · Claude Agent SDK · CrewAI · DeerFlowadapters in attest/
MCPzero-code proxy in front of any server, plus a verify server
HTTP gatewaypoint outbound traffic at it, no SDK at all
API onlyPOST the descriptor yourself

Human confirmation lands where the team already works: Slack, the web inbox, a webhook, a LangGraph interrupt, or the console. Approvers can edit the parameters before approving, and the edit is recorded.

The record itself

Hash-chained ledger, SQLite locally and Postgres per organisation in the cloud. Signed checkpoints let you prune old rows and still verify the chain. Optional Ed25519 signing, and external anchoring to a file, a git repo or an HTTP endpoint. Exports: JSON, CSV, the IETF draft-sharif-agent-audit-trail JSONL format, and an EU AI Act event-log pack.

Overhead is roughly a sixth of a millisecond per action, measured in benchmarks/ (published numbers).

Try it locally

python examples/unknown_app.py                         # an app Attest has never seen, L1 → L3

ATTEST_AUTO_APPROVE=1 python examples/langgraph_agent.py cd deploy && cp .env.example .env && docker compose up # cloud API :8400 + dashboard :3400

Attest Cloud

The SDK is MIT and works standalone with a local ledger. Attest Cloud adds the shared ledger, the confirm inbox, versioned org policy, agent keys and compliance exports. Your vendor tokens never reach it: read-back happens in your process with your own credentials, and only hashes and previews are sent. Self-host it from deploy/, or read DEPLOY.md.

Install channels

wherehow
PyPIpip install attestlayer → attest, attest-mcp, attest-mcp-server, attest-gateway
npmnpm install attestlayer
MCP Registryio.github.dev-prathap/attest (verify server) · io.github.dev-prathap/attest-proxy (zero-code proxy)
Smitheryattestlayer/attest
Claude Desktopattest- .mcpb on the latest release
Dockerghcr.io/dev-prathap/attest-api · ghcr.io/dev-prathap/attest-dashboard

Documentation

Full docs at [dev-prathap.github.io/ATTEST](https://dev-prathap.github.io/ATTEST/) — quickstart · verification levels · policy · read-back recipes · ledger & exports · hardening

Repository

pathwhat
attest/Python SDK — descriptor, policy, ledger, verification ladder, gates, adapters, MCP proxy, CLI
packages/attest-ts/TypeScript SDK — same canonical hashes, fixture-tested against Python
cloud/Attest Cloud — FastAPI + Postgres: orgs, keys, policy versions, ledger, confirm inbox, exports
dashboard/Next.js dashboard — ledger drill-down, confirm inbox, policy and keys
examples/unknown app, LangGraph, OpenAI Agents, MCP config, API-only, cloud
deploy/Dockerfiles and compose
benchmarks/what the layer costs per action
docs/documentation site source, plus design notes
pytest -q && (cd cloud && pytest -q)     # 355 + 37 offline tests

pytest tests/live # 8 live suites; need real credentials, skipped without them

Contributing

Read-back recipes are the easiest place to start: each one teaches Attest how to confirm a write in one more app, and needs nothing but that app's read API. See CONTRIBUTING.md, and SECURITY.md for reporting a vulnerability.

Principles

  • We never execute your action. Your tool executes; we decide, gate, verify and record.
  • Coverage is universal. Verification depth is layered and stated honestly on every row.
  • Open-source SDK under MIT. Paid cloud for the shared ledger, inbox, policy and exports.

Design notes

The thinking behind the product, kept in the open: vision · product · universal adapter · architecture · market · build plan · decisions · phase plan

Lineage

Attest's core mechanisms are extracted from two working codebases: DO (policy engine, read-back verification pairs, evidence ledger) and DeerFlow (tool receipts, verification patterns, MCP and chat-channel adapters), which run against real Gmail, Slack, HubSpot, Notion, Linear and Google Workspace. Attest ships its own live suites for those systems in tests/live/; they need real credentials and are skipped without them.

问 PopNx