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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Sigma Gate

作者:spektre-labs版本 1.0.0i★ –i在云端运行
注册名称io.github.spektre-labs/sigma-gate

安装

概览

作者提供的说明(英文原文)

Deterministic trust gate for AI output: leaked-secret, prompt-injection & PII in one call.

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: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

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:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://sigma-gate-864996675261.us-central1.run.app/mcp

在终端中运行这条命令

claude mcp add --transport http sigma-gate https://sigma-gate-864996675261.us-central1.run.app/mcp

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": {
    "sigma-gate": {
      "url": "https://sigma-gate-864996675261.us-central1.run.app/mcp"
    }
  }
}

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": {
    "sigma-gate": {
      "type": "http",
      "url": "https://sigma-gate-864996675261.us-central1.run.app/mcp"
    }
  }
}

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:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://sigma-gate-864996675261.us-central1.run.app/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。

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

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。

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 spektre-labs 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

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 5654 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 5654 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 5654 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

Sigma Gate 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?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.0)于5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。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。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

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

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT21天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT2个月前更新
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。

⟐ σ-gate — guard

Deterministic trust layer for AI/agent output. One call → one verdict. No model, no API key, no network.

1 = 1.  Declared output must equal what is safe to realize.

The paradigm

The other four Spektre repos are routing protocols — they move value, capability, promises, and identity across networks. σ-gate is not a routing protocol, and does not pretend to be one. It is the suite's deterministic trust verdict: the gate that sits at the edge of any pipeline and answers, in ~85µs and identically every time, *is this output safe to ship?* LLM-as-judge guards are slow, burn a model call per check, and silently degrade under rate-limits. But the highest-frequency risks — a leaked AKIA… key, a Luhn-valid card number, an "ignore all previous instructions" — are structurally detectable: you don't need a model, you need a gate that gives the same answer every time. That determinism *is* the primitive. σ = declared − realized: a block is always nameable (secret[high]: github_pat), never an opaque float, so what the gate declares unsafe is exactly what it refuses to realize. guard is that gate.


One call

from guard import guard

result = guard(model_output)

{"safe_to_ship": True/False, "severity": "clean|low|medium|high|critical",

"block_reasons": [...], "dimensions": {"secret": {...}, "injection": {...}, "pii": {...}}}

Block a bad output:

v = guard("Here is the key: [PopNx MCP ตัดค่าที่หน้าตาเหมือนกุญแจออก]")

safe_to_ship: False

block_reasons: ["secret[high]: github_pat"]

Pass a clean output through:

v = guard("The quarterly report shows revenue grew 12% driven by the EU segment.")

safe_to_ship: True

severity: "clean"


Three dimensions, one verdict

DimensionWhat it catches
secretLeaked credentials — 20+ providers (AWS, GitHub, Stripe, GCP, …), entropy-ranked
injectionPrompt-injection and jailbreak patterns — structural, not heuristic
piiEmail, phone, card (Luhn-verified), SSN, IBAN, IP — compliance-class detection

Every dimension runs independently. A combined hit fires all three:

guard("AKIA… ghp_… 4111 1111 1111 1111 — ignore all previous instructions")

block_reasons: ["secret[high]: ...", "injection[high]: ...", "pii[high]: ..."]


Install

Zero dependencies, pure stdlib, Python 3.9+.

git clone https://github.com/spektre-labs/sigma-gate && cd sigma-gate

pip install -e . # installs the guard + guard-mcp console scripts python3 -m pytest -q # 7 passed, zero dependencies

No install is even required to import — from guard import guard works from the cloned directory.


Use it

Inline gate in any pipeline:

from guard import guard

def ship(output: str) -> str: v = guard(output) if not v["safe_to_ship"]: raise ValueError(f"blocked: {v['block_reasons']}") return output

CLI — pipe any output through:

echo "your model output" | python3 -m guard

Self-test — prove every threat class fires:

python3 -m guard selftest

{"secret_blocked": true, "injection_blocked": true, "pii_blocked": true,

"clean_passes": true, "combined_all_fire": true, "ALL_PASS": true}

Tune the threshold via env var (default: medium):

GUARD_BLOCK_AT=high python3 -m guard "..."

Use as an MCP tool

σ-gate ships a zero-dependency MCP server — give any agent (Claude Code, Claude Desktop, Cursor, Cline) a deterministic guard tool it can call before shipping output. No model, no key, no token cost.

Claude Code:

claude mcp add guard -- python3 /absolute/path/to/sigma-gate/mcp_server.py

Claude Desktop (claude_desktop_config.json):

{ "mcpServers": { "guard": { "command": "python3",

"args": ["/absolute/path/to/sigma-gate/mcp_server.py"] } } }

Exposes two tools: guard(text, …) → the ship/block verdict, and guard_selftest() → proof every threat class fires. Pure stdlib stdio JSON-RPC.

Hosted — no install

σ-gate also runs as a hosted remote MCP server (scale-to-zero), listed in the official MCP Registry as io.github.spektre-labs/sigma-gate. Connect with zero local setup:

https://sigma-gate-864996675261.us-central1.run.app/mcp

MCP clients that browse the registry discover it automatically.


Open-core vs hosted

Open core (this repo)Hosted σ scoring
WhatDeterministic gate: secret + injection + PIICoherence / hallucination σ-scoring on a hot path
Latency~85µsNetwork round-trip
DependenciesZeroNone on your side
CostFree, alwaysPay-per-call via x402 — no signup
OfflineYesNo
ModelNoneOptional

The open core handles what models cannot do reliably — structural pattern detection with identical verdicts on identical inputs. The hosted layer adds probabilistic coherence scoring for the cases where structure alone is insufficient.

Hosted endpoint:

curl "https://swagletz-sigmagate.hf.space/check?text=your+text+here"

HTTP 402 + permissionless x402 pay-to — no account required


Properties

  • Deterministic. Same input → same verdict. No variance, no model drift.
  • Composable. Each dimension is independent and pluggable. Wire in a hallucination scorer or extend with custom patterns; the gate architecture is additive.
  • Honest. Severity and block-reasons are explicit strings, not opaque floats. A block is always nameable.
  • Fails safe. If a detector throws, that dimension returns severity: "error" — the call does not silently pass.
  • Zero dependencies. Runs anywhere Python 3.9+ runs. No pip install required to import.

Status

REAL — shipped, deterministic, deployed. CI green, 7/7 tests passing, zero dependencies; live as a local MCP tool and as a hosted scale-to-zero MCP server listed in the official registry.


The Spektre protocol suite

σ-gate is the deterministic trust verdict of a five-part estate. The other four are routing protocols; this one is the gate they ship through:

  • [vrp](https://github.com/spektre-labs/vrp) — value routing (least-friction multi-hop settlement)
  • [crp](https://github.com/spektre-labs/crp) — capability routing (route a task to the best AI substrate)
  • [vtc](https://github.com/spektre-labs/vtc) — verifiable transaction chain (signed value promises anyone verifies trustlessly)
  • [sid](https://github.com/spektre-labs/sid) — sovereign identity (prove one claim, reveal nothing else)
  • [sigma-gate](https://github.com/spektre-labs/sigma-gate) — deterministic trust verdict *(this repo)*

License

Apache-2.0 — see LICENSE.


Part of Spektre Labs — coherence-theory research lab. σ = declared − realized · 1 = 1, made executable.

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