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)
Authorize consequential AI agent actions before execution
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。
DECIONIS_POLICY_PATH, DECIONIS_PRESENCE_API_KEY, DECIONIS_PRESENCE_API_URL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 …”。
适用于网页版、桌面版和手机版 Claude:
https://protocol.decionis.com/mcp打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"decionis": {
"command": "npx",
"args": [
"-y",
"@decionis/mcp"
],
"env": {
"DECIONIS_POLICY_PATH": "your-value",
"DECIONIS_PRESENCE_API_KEY": "your-value",
"DECIONIS_PRESENCE_API_URL": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add --transport http decionis https://protocol.decionis.com/mcpclaude mcp add decionis --env DECIONIS_POLICY_PATH=your-value --env DECIONIS_PRESENCE_API_KEY=your-value --env DECIONIS_PRESENCE_API_URL=your-value -- npx -y @decionis/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": {
"decionis": {
"url": "https://protocol.decionis.com/mcp"
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"decionis": {
"command": "npx",
"args": [
"-y",
"@decionis/mcp"
],
"env": {
"DECIONIS_POLICY_PATH": "your-value",
"DECIONIS_PRESENCE_API_KEY": "your-value",
"DECIONIS_PRESENCE_API_URL": "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": {
"decionis": {
"type": "http",
"url": "https://protocol.decionis.com/mcp"
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"decionis": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@decionis/mcp"
],
"env": {
"DECIONIS_POLICY_PATH": "your-value",
"DECIONIS_PRESENCE_API_KEY": "your-value",
"DECIONIS_PRESENCE_API_URL": "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。
ChatGPT 只能连接互联网上的服务器:
https://protocol.decionis.com/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
DECIONIS_POLICY_PATH envDECIONIS_PRESENCE_API_URL 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。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
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
注册名称已通过域名 decionis.com 验证(注册中心会核实域名所有权)
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
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
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:DECIONIS_PRESENCE_API_KEY
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于–,最新版本(0.3.0)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。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, AvaHR
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.
Read hiring data and create inactive assessment and questionnaire drafts for human review.
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。
Authorize every autonomous action, before it commits.
AgentSafe is the open-source gateway that puts authorization in front of every action your AI agents, workflows and pipelines take: a payment or a settlement, a trade, a price change, an inspection sign-off, a deployment or any other API call. An agent, an application or a tool sends its HTTP request to AgentSafe instead of the target; AgentSafe captures the action as an intent, asks the Decionis control plane (the Independent Execution Authority, bound to the exact action) for a decision, and forwards exactly the authorized request once on a claimed single-use grant, holds it for a person, or refuses it, leaving a chained record of each. It decides nothing itself.
brew tap decionis/agent-safe https://github.com/decionis/agent-safe-pipeline && brew trust decionis/agent-safe && brew install agentsafe
agentsafe proxy \ --upstream http://localhost:3000 \ --port 8080
5-minute quickstart · Homebrew · Linux · Docker · Kubernetes · Hosted
Agent integration and deployment guide: put the gateway in front of tool calls, deploy on premises, or connect to the Decionis-managed shadow gateway. For a Drupal Commerce store, the gateway holds the Fincra key.
Deployment strategies: Docker with TLS ingress, Kubernetes, Istio, AWS and Azure network isolation, and deployment acceptance checks.
The installed forms are produced by the release workflow from
v0.2.0on; the Homebrew formula
reaches master by its own pull request after each release. The same commands run from a clone,
as the quickstart shows.
The path from here is short: discover, install, test your boundary, see what is exposed, run in shadow, enforce, deploy.
Arriving here for the first time, you meet three names. This repository is one of them; the other two are the services it talks to, and neither is in this repository.
ALLOW, ESCALATE or BLOCK; an ALLOW comes with the single-use execution grant the request executes on, an ESCALATE with the human ceremony it needs, and every decision with a signed Decision Dossier that records what was proposed, what was decided and why. It runs at decionis.com (docs); the local demo authority in this repository stands in for it on loopback with a synthetic policy, and says so on every line.ESCALATE, a verified, present person on their own device approves that exact action, and the signed Presence Record that results is evidence Decionis re-checks before it issues a grant, never authority by itself. It runs at presence.decionis.com (what the layer is); the loopback double in this repository simulates the ceremony for the examples and proves nothing about a real one.ESCALATE with Presence, forwards exactly the authorized request once on the claimed grant, holds or refuses the rest, and leaves chained evidence. It is Apache-2.0 and it decides nothing; OPEN-CORE.md states the seam between it and what Decionis operates.One sentence separates the two systems agents are usually given: decision intelligence determines what an AI wants to do; execution authority determines whether it is permitted to happen. The boundary here binds the second to the exact action, never to the identity that proposed it, because the realistic adversary is not a forged credential but a valid one: an agent whose identity is real, whose credential is current, and whose request is not what anyone authorised. As agents get faster and more autonomous, identity becomes a weaker proxy for authority; the Compromised Principal Test is that failure stated as a test the boundary passes on every pull request, with three ways to run it in under a minute and what each proves; THREAT-MODEL.md states it as a threat.
Before putting the gateway in front of anything, see what it changes. agentsafe test sends the same consequential requests three ways at a synthetic target that records what reaches it: directly, as an agent with nothing in the way; through the gateway in shadow; and through the gateway in enforcement. Nothing real is called and nothing of yours is read.
agentsafe test
direct shadow enforcement
A read reached 200 reached 200 reached 200 (not consequential) A payment within policy reached 201 reached 201, would ALLOW ALLOW: forwarded once, 201, dossier A payment above the human ceiling reached 201 reached 201, would BLOCK BLOCK 403, NOT FORWARDED A payment above the autonomous ceiling reached 201 reached 201, would ESCALATE ESCALATE 202, HELD Deleting a customer record reached 204 reached 204, would ESCALATE ESCALATE 202, HELD A forged approval on a blocked payment reached 201, forged headers accepted reached 201, would BLOCK BLOCK 403, NOT FORWARDED A consequential request the policy cannot read reached 201 reached 201, would ESCALATE ESCALATE 202, HELD A payment while the authority is unreachable reached 201 reached 201, would decide nothing (authority unreachable) AUTHORITY UNAVAILABLE 503, NOT FORWARDED with failurePolicy failOpen (explicit): reached 201, marked FORWARDED (fail-open, ungoverned)
Exposure 6 of 6 adversarial actions reached the target directly, 6 of 6 in shadow, 0 of 6 under enforcement Work routine actions went through under enforcement, once each Evidence 26 chained lines, verified
Caller the same on every row, and never the reason: the target took every direct request; the boundary decided on the action Verdict BOUNDARY HOLDS
Next: agentsafe proxy --upstream --mode shadow, then --mode enforcement. ✓ boundary tested
The gateways under test are the ones agentsafe proxy runs, behind the same listener; the authority is the local demo policy. agentsafe test ledger=ledger.internal:443 also dials a real system of record from where you stand and says whether it answers without the gateway, which is what an agent could reach by going around. Exit 0 is a boundary that holds; 1 is exposure; --json is the report as one line. The release smoke test runs it on every packaged binary. The Caller line is the point: nothing above was refused for who asked, only for what was asked, which is the Compromised Principal Test in one table; the last line is the step of the adoption path the run is.
With a workspace, agentsafe test --hosted sends the same requests with Decionis deciding, in shadow, at the same synthetic target: the first governed action against Decionis for that workspace, one signed Decision Dossier per consequential request, and the first record fetched with the run's own key and shown by its proof. agentsafe login --provision mints the workspace in one command, no account; the test takes about as long as the local one.
Nothing here needs an account: without a Decionis key the gateway runs a local demo authority in the same process, on loopback, with a synthetic policy, and says so on every line.
agentsafe proxy --upstream http://localhost:3000 --port 8080
AgentSafe 0.7.0
Gateway http://127.0.0.1:8080 Upstream http://localhost:3000 Mode ENFORCEMENT Authority local/demo (synthetic policy on loopback; not Decionis) Failure fail-closed Routes none named; every unsafe method is governed Evidence not written; use --verbose or evidence.journalDir Status READY
Waiting for consequential actions...
Send it one request:
curl -i -X POST http://127.0.0.1:8080/payments -H 'content-type: application/json' -d '{"amount": 500}'
ESCALATE
POST /payments
Action http.post Decision ESCALATE Reason HUMAN_APPROVAL_REQUIRED Execution HELD Dossier synthetic-dossier-1 Latency 4ms
The caller gets 202 and nothing reached the upstream. {"amount": 50} is ALLOW: forwarded once, byte for byte, with the dossier id beside the upstream's own answer. {"amount": 5000} is BLOCK: 403, not forwarded. A GET passes through untouched. Every state has its own heading and, with a terminal, its own color: ALLOW, BLOCK, ESCALATE, SHADOW, AUTHORITY UNAVAILABLE. --verbose shows the chained evidence lines; agentsafe init writes the configuration file; agentsafe doctor says what would stop it from governing; agentsafe login connects a Decionis key, after which the same gateway asks Decionis, in shadow first. A gateway in shadow keeps its own shadow report: what enforcement would have held or refused so far, by action, and how many of those refusals the upstream accepted as sent, which agentsafe status prints, the gateway prints when it stops and on its own cadence as it runs, ending with the one switch that turns enforcement on; agentsafe login --provision mints the free Decionis workspace that switch names. The quickstart is the full walk, and the CLI reference every command.
Agent / Application / Tool
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只显示了开头部分;其余内容请在仓库中阅读