Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
MCP bridge for tamper-evident evidence around consequential AI and agent decisions.
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。
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。
选择你使用的 AI 应用,然后复制设置。
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
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。
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。
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。
LOOPGRID_BASE_URL envLOOPGRID_WORKSPACE env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。
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
注册名称已通过 GitHub 账户 loopgridio 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
你需要填写:LOOPGRID_SERVICE_KEY
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)。
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。
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)。
同一分类中有:Spec Driven Development, Remote Desktop Commander, AI Deprecations
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
AI model shutdown dates, replacements, change feed and webhook alerts for 8 providers.
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。
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.
Current version:
0.1.0
Available through:
loopgrid-mcpgithub.com/loopgridio/loopgrid-mcpio.github.loopgridio/loopgrid-mcpThe official MCP Registry entry is active and currently points to the PyPI 0.1.0 package using local stdio transport.
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.
The server exposes six tools:
loopgrid.record_decisionloopgrid.record_reviewloopgrid.record_actionloopgrid.record_outcomeloopgrid.get_evidenceloopgrid.verify_evidenceLoopGrid 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.
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
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
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
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.
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.
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.
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
Run:
python -m pytest -ra
Run:
python .\scripts\release_check.py
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.
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.
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
loopgrid.record_decisionCaptures 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_reviewRecords 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_actionAppends 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_outcomeAppends 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_evidenceDownloads 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_evidenceAsks 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.
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.
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.
LoopGrid supports evidence workflows with different disclosure levels.
The MCP bridge follows conservative defaults:
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.
LoopGrid MCP 0.1.0 has been validated on Windows against the public LoopGrid 0.8.1-design-partner container.
Validation included:
The official MCP Python client successfully negotiated MCP protocol:
2026-07-28
See VALIDATION.md for the detailed release-gate record.
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:
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