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

LoopGrid MCP

作者:loopgridio版本 0.1.0i★ –i在你的电脑上运行
注册名称io.github.loopgridio/loopgrid-mcp

安装

概览

作者提供的说明(英文原文)

MCP bridge for tamper-evident evidence around consequential AI and agent decisions.

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
  • 你需要填写:LOOPGRID_SERVICE_KEY

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: LOOPGRID_BASE_URL, LOOPGRID_SERVICE_KEY, LOOPGRID_WORKSPACE

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": {
    "loopgrid": {
      "command": "uvx",
      "args": [
        "loopgrid-mcp"
      ],
      "env": {
        "LOOPGRID_BASE_URL": "your-value",
        "LOOPGRID_SERVICE_KEY": "your-value",
        "LOOPGRID_WORKSPACE": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add loopgrid --env LOOPGRID_BASE_URL=your-value --env LOOPGRID_SERVICE_KEY=your-value --env LOOPGRID_WORKSPACE=your-value -- uvx loopgrid-mcp

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": {
    "loopgrid": {
      "command": "uvx",
      "args": [
        "loopgrid-mcp"
      ],
      "env": {
        "LOOPGRID_BASE_URL": "your-value",
        "LOOPGRID_SERVICE_KEY": "your-value",
        "LOOPGRID_WORKSPACE": "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": {
    "loopgrid": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "loopgrid-mcp"
      ],
      "env": {
        "LOOPGRID_BASE_URL": "your-value",
        "LOOPGRID_SERVICE_KEY": "your-value",
        "LOOPGRID_WORKSPACE": "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

  • LOOPGRID_BASE_URL env
    Base URL of the LoopGrid service
  • LOOPGRID_SERVICE_KEY 机密 env
    Scoped LoopGrid service API key when authentication is enabled
  • LOOPGRID_WORKSPACE env
    LoopGrid workspace id

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 loopgridio 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 32606 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32606 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 32606 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

LoopGrid MCP 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:LOOPGRID_SERVICE_KEY

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:Spec Driven Development, Remote Desktop Commander, Georgia MCP

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前天更新
安装

Georgia MCP

作者:abgeo

An MCP server for Georgian public data, read from the organizations that publish it.

电脑或云端今天更新
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。

LoopGrid MCP Server — v0.1 design preview

MCP access to the LoopGrid evidence plane for consequential AI and agent decisions.

loopgrid-mcp is a thin Model Context Protocol (MCP) bridge for LoopGrid.

It lets an MCP-compatible AI host record and retrieve signed, tamper-evident decision evidence through six MCP tools while keeping the MCP layer separate from the LoopGrid core runtime.

The bridge communicates with LoopGrid exclusively through its REST API. It does not import LoopGrid internals, access the LoopGrid database directly, change signing logic, alter the evidence schema, or modify the existing LoopGrid SDK contracts.

Public release

Current version:

0.1.0

Available through:

  • PyPI: loopgrid-mcp
  • GitHub: github.com/loopgridio/loopgrid-mcp
  • MCP Registry: io.github.loopgridio/loopgrid-mcp

The official MCP Registry entry is active and currently points to the PyPI 0.1.0 package using local stdio transport.

Architecture

MCP-compatible AI host/client

| | stdio MCP v loopgrid-mcp | | LoopGrid REST API v LoopGrid | v signed, tamper-evident decision evidence

The v0.1 release uses local stdio transport.

No separate hosted MCP service, Railway deployment, Render deployment, AWS service, or MCP-specific database is required.

MCP tools

The server exposes six tools:

  • loopgrid.record_decision
  • loopgrid.record_review
  • loopgrid.record_action
  • loopgrid.record_outcome
  • loopgrid.get_evidence
  • loopgrid.verify_evidence

Important safety boundary

LoopGrid MCP is an evidence bridge, not a business-action executor.

loopgrid.record_action does not issue a Stripe refund, modify Salesforce, change ServiceNow, or invoke another external business system. It records evidence supplied by the calling integration that an external action occurred.

Likewise, loopgrid.record_outcome records an outcome reported by the calling integration.

LoopGrid can cryptographically verify the integrity of the captured record. That verification does not independently prove that every external-world claim in the record is true and does not determine legal or regulatory compliance.

Human review receives additional protection. loopgrid.record_review is registered as an MCP tool but is disabled by default. To enable it, an operator must explicitly configure both the review flag and reviewer identity. The model cannot choose the configured reviewer identity.

Raw FULL-mode disclosure payloads are also excluded from MCP evidence export by default.

Requirements

  • Python 3.10+
  • A reachable LoopGrid v0.8.x service
  • For local evaluation, the public LoopGrid GHCR image is sufficient

Normal use of the Python stdio server does not require Node.js.

Node.js is only needed for optional browser-based MCP Inspector tooling.

The project uses the official MCP Python SDK v2 line:

mcp>=2,<3

Quick start

1. Start LoopGrid

For local evaluation using Docker:

docker run --rm `

--platform linux/amd64 -p 8000:8000 -v loopgrid_demo_data:/app/data ` ghcr.io/cybertechsoft/loopgrid:edge

Leave the LoopGrid container running.

By default, LoopGrid MCP expects the service at:

http://127.0.0.1:8000
2. Install LoopGrid MCP from PyPI

Create a Python virtual environment:

py -3.12 -m venv .venv

.\.venv\Scripts\Activate.ps1 python -m pip install --upgrade pip

Install the published package:

pip install loopgrid-mcp
3. Check connectivity

Run:

loopgrid-mcp-doctor

Expected shape:

[OK] LoopGrid reachable: http://127.0.0.1:8000

[OK] version: 0.8.1-design-partner [OK] evidence profile: 3.0-draft [OK] database: ok [OK] signer: local_ed25519 [OK] MCP workspace: default

The local evaluation configuration does not require a service key when LoopGrid authentication is disabled.

4. Start the MCP server

Run:

loopgrid-mcp

Because this is a stdio MCP server, running it directly normally causes it to wait for MCP messages on standard input.

In normal use, an MCP-compatible host starts this command for you.

Generic MCP client configuration

A generic client configuration looks like:

{

"mcpServers": { "loopgrid": { "command": "loopgrid-mcp", "env": { "LOOPGRID_BASE_URL": "http://127.0.0.1:8000", "LOOPGRID_WORKSPACE": "default" } } } }

On Windows, some MCP hosts may require the full path to the executable, for example:

.venv\Scripts\loopgrid-mcp.exe

See:

examples/mcp-client-config.windows.json

for an example.

Install from source

For development or repository validation:

git clone https://github.com/loopgridio/loopgrid-mcp.git

cd loopgrid-mcp

py -3.12 -m venv .venv .\.venv\Scripts\Activate.ps1

python -m pip install --upgrade pip python -m pip install -e ".[dev]"

Then verify connectivity:

loopgrid-mcp-doctor

Development and validation

Unit and protocol tests

Run:

python -m pytest -ra
Repository release check

Run:

python .\scripts\release_check.py
REST smoke test

Run:

python .\scripts\smoke_test.py

The smoke test creates a synthetic decision, records synthetic action and outcome evidence, verifies the decision, and downloads an evidence ZIP.

It does not call a real external business system.

Real stdio MCP client test

Run:

python .\scripts\mcp_stdio_test.py

This launches loopgrid-mcp as a child stdio server using the official MCP Python client and verifies:

connect

-> discover all 6 tools -> record decision -> record action evidence -> record outcome evidence -> service-side verification -> evidence ZIP export -> review tool remains disabled by default

A successful run ends with:

[PASS] Real stdio MCP client test completed successfully.

This is the recommended automated release-gate test for the MCP protocol path.

Optional MCP Inspector

The browser-based MCP Inspector can be useful for manual exploration, but it is not required to run or validate LoopGrid MCP.

The canonical automated protocol test in this repository remains:

python .\scripts\mcp_stdio_test.py

If your installed MCP development tooling supports the Inspector cleanly, you can also try:

mcp dev .\src\loopgrid_mcp\server.py

Tool behavior

loopgrid.record_decision

Captures a decision through the LoopGrid REST API.

Optional inputs can also append model evidence and evaluate an existing LoopGrid policy.

It never executes proposed_action.

Example:

{

"decision_type": "customer_refund", "agent_id": "support-agent", "agent_version": "1.0", "proposed_action": { "tool": "stripe.refunds.create", "amount": 720, "currency": "USD" }, "model": { "provider": "openai", "name": "gpt-5" }, "authority": { "acting_for": "Acme", "limit_usd": 1500, "scope": ["refund:create"] } }

loopgrid.record_review

Records an approve/reject review through the LoopGrid review endpoint.

This tool is disabled by default.

To enable it deliberately:

$env:LOOPGRID_MCP_ENABLE_REVIEW_TOOL="true"

$env:LOOPGRID_MCP_REVIEWER_ID="reviewer@example.com"

When LoopGrid authentication is enabled, the configured service key must also have the appropriate review scope.

loopgrid.record_action

Appends tool_executed evidence to the decision record.

It does not execute the external tool.

Canonical fields such as the tool name cannot be overwritten by free-form details.

loopgrid.record_outcome

Appends outcome_observed evidence.

The calling integration is responsible for obtaining the real downstream outcome.

Canonical fields such as status and verified_against cannot be overwritten by free-form details.

loopgrid.get_evidence

Downloads the portable LoopGrid evidence ZIP to:

LOOPGRID_EVIDENCE_DIR

The default directory is:

./loopgrid-evidence

Raw disclosure payloads are blocked from MCP evidence export unless explicitly enabled:

$env:LOOPGRID_MCP_ALLOW_PAYLOAD_EXPORT="true"
loopgrid.verify_evidence

Asks the connected LoopGrid service to verify the decision's signed workspace chain.

This is service-side verification.

Independent/offline verification of an exported evidence bundle should use the corresponding LoopGrid evidence-verification workflow rather than duplicating that verifier inside the MCP bridge.

Authenticated LoopGrid deployments

For local evaluation with LoopGrid authentication disabled, no service key is required.

When authentication is enabled:

$env:LOOPGRID_SERVICE_KEY="<scoped-service-key>"

Use the minimum scopes required by the MCP tools you enable.

Do not use an administrative key unless administration is genuinely required.

Configuration

See:

.env.example

for the complete supported environment-variable configuration.

Common settings include:

LOOPGRID_BASE_URL

LOOPGRID_WORKSPACE LOOPGRID_SERVICE_KEY LOOPGRID_EVIDENCE_DIR LOOPGRID_MCP_TIMEOUT_SECONDS LOOPGRID_MCP_ENABLE_REVIEW_TOOL LOOPGRID_MCP_REVIEWER_ID LOOPGRID_MCP_ALLOW_PAYLOAD_EXPORT

The bridge does not automatically load .env.

The MCP host should inject environment variables, or the operator should configure them in the environment that starts the server.

The LoopGrid service URL is operator configuration rather than an MCP tool argument. This prevents a model from redirecting the bridge to an arbitrary LoopGrid host through a tool call.

Privacy and disclosure defaults

LoopGrid supports evidence workflows with different disclosure levels.

The MCP bridge follows conservative defaults:

  • human review recording is disabled unless explicitly enabled;
  • reviewer identity is operator-configured;
  • raw FULL-mode payload export is disabled by default;
  • authenticated deployments should use scoped service keys;
  • external business actions are never executed by the MCP bridge itself.

Repository boundary

LoopGrid core and LoopGrid MCP intentionally remain separate:

github.com/cybertechsoft/loopgrid

core LoopGrid evidence infrastructure

github.com/loopgridio/loopgrid-mcp MCP protocol bridge

The MCP bridge communicates with the LoopGrid core runtime only over HTTP.

Validation status

LoopGrid MCP 0.1.0 has been validated on Windows against the public LoopGrid 0.8.1-design-partner container.

Validation included:

  • clean repository installation;
  • Python unit/protocol tests;
  • REST connectivity;
  • synthetic decision creation;
  • action evidence recording;
  • outcome evidence recording;
  • service-side cryptographic verification;
  • portable evidence ZIP export;
  • official MCP Python client stdio negotiation;
  • discovery of all six MCP tools;
  • confirmation that the review tool remains disabled by default.

The official MCP Python client successfully negotiated MCP protocol:

2026-07-28

See VALIDATION.md for the detailed release-gate record.

MCP Registry

LoopGrid MCP is published in the official MCP Registry as:

io.github.loopgridio/loopgrid-mcp

Current Registry version:

0.1.0

Registry metadata:

Status: active

Latest: true Package registry: PyPI Package: loopgrid-mcp Transport: stdio

The Registry entry is publicly discoverable and points to:

https://github.com/loopgridio/loopgrid-mcp

The corresponding Python package is published as:

loopgrid-mcp==0.1.0

The hidden ownership marker near the top of this README:

<!-- mcp-

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