compliancecow/cow-mcp

开发工具

本页由 AI 翻译，技术细节请以原文为准。查看原文

13 stars 19 forks 质量 72 趋势 40

Repository Install

这个寄存器包含用于遵守Cow的MCP服务器. 它利用四个专门的服务器——规则、透视、工作流程和助理——实现GRC任务自动化、执行合规规则和.

概览

MCP(Model Context Protocol)服务器被设计用于处理AI代理商的结构化请求,执行特定域的操作,并返回上下文感应. 遵义Cow MCP服务器能够与Claude桌面和Goose桌面/CLI等兼容MCP的主机进行无缝集成,实现安全,模块化,智能化的合规自动化. 遵义Cow MCP服务器支持与您MCP主机实现无缝本地集成. 核心是评估、证据和遵约状况等数据的持续吸收。服务器从 : - 用于语义搜索的矢量存储 - 结构数据的关系数据库 - 关系查询的图表数据库 - 证据文物的文件存储系统我们把遵义牛的MCP工具组织成四个不同的服务器。在MCP生态系统中,每台服务器使用的工具较少,结果更好,性能更好.

概述（AI 翻译）

□ 目录

导言
词汇表
结构
MCP服务器
开始

先决条件
认证
安装
配置

MCP 主机设置

克劳德桌面
鹅桌面/CLI

在当地运行
工具参考
财务问题

– – . . .

□ 导言

MCP(Model Context Protocol)服务器被设计用于处理AI代理商的结构化请求,执行特定域的操作,并返回上下文感应. 遵义Cow MCP服务器能够与Claude桌面和Goose桌面/CLI等兼容MCP的主机进行无缝集成,实现安全,模块化,智能化的合规自动化.

– – . . .

□ 词汇表

关键词描述实例 |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- • 遵守或安全控制,以确保遵守条例、标准和政策评估********* ********* ******************************** ********************************************************************************************************************************************************************************************************* ** 评估运行** * 在评估中核实某一时期的控制措施,包括收集证据

本页由 AI 翻译，技术细节请以原文为准。

README

以下为原文 README 节选，完整内容请查看原文。

ComplianceCow MCP Servers

Introduction
Glossary
Architecture
MCP Servers
Getting Started
MCP Host Setup
- Claude Desktop
- Goose Desktop/CLI
Running Locally
Tools Reference
FAQ

Introduction

MCP (Model Context Protocol) servers are designed to process structured requests from AI agents, perform domain-specific operations, and return context-aware responses. The ComplianceCow MCP servers enable seamless integration with MCP-compatible hosts like Claude Desktop and Goose Desktop/CLI for secure, modular, and intelligent compliance automation.

Glossary

Keyword	Description	Example
Control	A compliance or security control that needs to be implemented to ensure adherence to regulations, standards, and policies	Ensure MFA is enabled for all users
Assessment	A collection of controls organized hierarchically, representing an industry standard or cybersecurity framework	PCI DSS 4.0
Assessment Run	The verification of controls in an assessment for a given time period, including evidence collection	-
Check	A rule or verification for compliance or conformance	Check if MFA is enabled for all AWS users
Resource Type	Category or class of resources	AWS EC2, AWS S3
Resource	Instance of a resource type for which checks are performed	Specific EC2 instances, GitHub repositories
Asset	A group of resources of various types	AWS services, Kubernetes, GitHub
Evidence	Data aggregated through checks against resources for a given control	CSV file with AWS users and their MFA status
Action	Activity (automated or manual) to respond or remediate based on conditions	Create a JIRA ticket for non-compliant EC2 instance
Rule	A reusable automation unit that executes tasks and generates evidence	AWS MFA Compliance Check Rule
Workflow	An event-driven automation sequence with conditions and activities	Alert workflow on critical finding

Architecture

The ComplianceCow MCP servers support the STDIO transport mechanism for seamless local integration with your MCP host. At the core is the Compliance Graph, which continuously ingests data such as assessment runs, evidence, and compliance status. The server actively pulls information from:

Vector stores for semantic search
Relational databases for structured data
Graph databases for relationship queries
File storage systems for evidence artifacts

MCP Servers

We have organized ComplianceCow’s MCP tools into 4 distinct servers.

在 GitHub 查看完整 README

安装

This server does not publish a one-line install command.

Open the repository installation guide 新手？先看 mcpskill.org 教程 →

配置

{
  "mcpServers": {
    "ComplianceCow-Rules": {
      "command": "<UV_BIN_PATH>",
      "args": [
        "--directory",
        "<PATH_TO_COW_MCP_REPO>",
        "run",
        "main.py"
      ],
      "env": {
        "CCOW_HOST": "<YOUR_CCOW_HOST>",
        "CCOW_CLIENT_ID": "<YOUR_CLIENT_ID>",
        "CCOW_CLIENT_SECRET": "<YOUR_CLIENT_SECRET>",
        "MCP_TOOLS_TO_BE_INCLUDED": "rules"
      }
    },
    "ComplianceCow-Insights": {
      "command": "<UV_BIN_PATH>",
      "args": [
        "--directory",
        "<PATH_TO_COW_MCP_REPO>",
        "run",
        "main.py"
      ],
      "env": {
        "CCOW_HOST": "<YOUR_CCOW_HOST>",
        "CCOW_CLIENT_ID": "<YOUR_CLIENT_ID>",
        "CCOW_CLIENT_SECRET": "<YOUR_CLIENT_SECRET>",
        "MCP_TOOLS_TO_BE_INCLUDED": "insights"
      }
    },
    "ComplianceCow-Workflow": {
      "command": "<UV_BIN_PATH>",
      "args": [
        "--directory",
        "<PATH_TO_COW_MCP_REPO>",
        "run",
        "main.py"
      ],
      "env": {
        "CCOW_HOST": "<YOUR_CCOW_HOST>",
        "CCOW_CLIENT_ID": "<YOUR_CLIENT_ID>",
        "CCOW_CLIENT_SECRET": "<YOUR_CLIENT_SECRET>",
        "MCP_TOOLS_TO_BE_INCLUDED": "workflow"
      }
    },
    "ComplianceCow-Assistant": {
      "command": "<UV_BIN_PATH>",
      "args": [
        "--directory",
        "<PATH_TO_COW_MCP_REPO>",
        "run",
        "main.py"
      ],
      "env": {
        "CCOW_HOST": "<YOUR_CCOW_HOST>",
        "CCOW_CLIENT_ID": "<YOUR_CLIENT_ID>",
     
…