mcp-use安全漏洞扫描工具：定期检查实践
【免费下载链接】mcp-use 
项目地址: https://gitcode.com/gh_mirrors/mc/mcp-use
MCP服务器具备文件系统访问、网络请求和代码执行等强大功能，这使得安全防护成为使用过程中的关键环节。本文将详细介绍如何利用mcp-use的安全功能进行定期漏洞扫描，通过配置强化、工具限制、日志审计等手段，构建完整的安全防护体系。
安全配置基础
mcp-use的安全防护始于正确的配置管理。API密钥作为系统的重要凭证，绝不能硬编码在源代码中，应始终使用环境变量或专业的密钥管理服务。
API密钥安全管理
创建.env文件存储密钥信息是基础且有效的做法：
# LLM Provider Keys
OPENAI_API_KEY=sk-...
ANTHROPIC_API_KEY=sk-ant-...
GROQ_API_KEY=gsk_...
# MCP Server Configuration
FILESYSTEM_ROOT=/safe/workspace
DATABASE_URL=postgresql://user:pass@localhost/db
# Optional: Security settings
MCP_TIMEOUT=30
MAX_TOOL_CALLS=10
ALLOWED_DOMAINS=example.com,api.service.com
务必将.env文件添加到.gitignore中，防止密钥泄露。对于生产环境，应使用AWS Secrets Manager、Azure Key Vault或HashiCorp Vault等专业服务。以AWS Secrets Manager为例：
import boto3
from botocore.exceptions import ClientError
def get_secret(secret_name, region_name="us-east-1"):
session = boto3.session.Session()
client = session.client('secretsmanager', region_name=region_name)
try:
response = client.get_secret_value(SecretId=secret_name)
return response['SecretString']
except ClientError as e:
raise e
# Usage
openai_key = get_secret("prod/mcp-use/openai-key")
文件系统服务器安全配置
文件系统访问是MCP服务器的高风险功能之一，必须严格限制访问范围。通过配置文件设置安全目录、只读权限和文件大小限制：
{
"mcpServers": {
"filesystem": {
"command": "mcp-server-filesystem",
"args": [
"/workspace/safe-directory",
"--readonly",
"--max-file-size", "10MB",
"--allowed-extensions", ".txt,.md,.json,.py"
],
"env": {
"FILESYSTEM_READONLY": "true",
"MAX_FILE_SIZE": "10485760"
}
}
}
}
漏洞扫描实践
定期安全审计
建立定期安全审计机制是发现潜在漏洞的有效方法。通过以下Python脚本实现自动化安全日志分析：
import logging
import json
from datetime import datetime
from typing import Any, Dict
class SecurityLogger:
def __init__(self, log_file: str = "security.log"):
self.logger = logging.getLogger("mcp_security")
handler = logging.FileHandler(log_file)
formatter = logging.Formatter(
'%(asctime)s - %(levelname)s - %(message)s'
)
handler.setFormatter(formatter)
self.logger.addHandler(handler)
self.logger.setLevel(logging.INFO)
def log_security_violation(self, user_id: str, violation_type: str, details: str):
"""Log security violations"""
self.logger.warning(f"SECURITY VIOLATION - User: {user_id}, Type: {violation_type}, Details: {details}")
security_logger = SecurityLogger()
输入验证与漏洞检测
实现全面的输入验证，防止恶意请求利用系统漏洞：
import re
from typing import List, Optional
class InputValidator:
def __init__(self):
self.max_length = 1000
self.blocked_patterns = [
r'rm\s+-rf', # Dangerous commands
r'sudo', # Privilege escalation
r'chmod\s+777', # Permission changes
r'\.\./', # Path traversal
r'<script', # XSS attempts
r'DROP\s+TABLE', # SQL injection
]
def validate_query(self, query: str) -> tuple[bool, Optional[str]]:
"""Validate user query for security issues"""
# Check length
if len(query) > self.max_length:
return False, f"Query too long (max {self.max_length} characters)"
# Check for blocked patterns
for pattern in self.blocked_patterns:
if re.search(pattern, query, re.IGNORECASE):
return False, f"Query contains blocked pattern: {pattern}"
return True, None
工具访问控制
限制工具使用权限
通过配置限制Agent可使用的工具，遵循最小权限原则：
from mcp_use import MCPAgent, MCPClient
from langchain_openai import ChatOpenAI
# Define allowed and disallowed tools
ALLOWED_TOOLS = [
"file_read",
"file_write",
"web_search",
"web_scrape"
]
DISALLOWED_TOOLS = [
"system_execute",
"network_request",
"database_write",
"file_delete"
]
async def create_secure_agent():
client = MCPClient.from_config_file("secure_config.json")
llm = ChatOpenAI(model="gpt-4")
agent = MCPAgent(
llm=llm,
client=client,
allowed_tools=ALLOWED_TOOLS,
disallowed_tools=DISALLOWED_TOOLS,
max_steps=20, # Limit execution steps
timeout=300, # 5-minute timeout
use_server_manager=True
)
return agent
实施速率限制
防止恶意用户通过大量请求攻击系统：
import time
from collections import defaultdict
from typing import Dict, Tuple
class RateLimiter:
def __init__(self, max_requests: int = 10, window_seconds: int = 60):
self.max_requests = max_requests
self.window_seconds = window_seconds
self.requests: Dict[str, List[float]] = defaultdict(list)
def is_allowed(self, user_id: str) -> Tuple[bool, str]:
"""Check if user is within rate limits"""
now = time.time()
window_start = now - self.window_seconds
# Clean old requests
self.requests[user_id] = [
req_time for req_time in self.requests[user_id]
if req_time > window_start
]
# Check if under limit
if len(self.requests[user_id]) >= self.max_requests:
return False, f"Rate limit exceeded: {self.max_requests} requests per {self.window_seconds} seconds"
# Record this request
self.requests[user_id].append(now)
return True, ""
安全检查清单
定期安全自查项目
- [ ] API keys stored in environment variables or secrets manager - [ ] No hardcoded credentials in source code - [ ] .env files added to .gitignore - [ ] Regular API key rotation implemented - [ ] Filesystem access restricted to safe directories - [ ] Network access limited to necessary domains - [ ] Database connections use read-only accounts where possible - [ ] Input validation on all server parameters安全更新与维护
保持系统和依赖库的最新安全补丁：
# 安装安全更新
pip install --upgrade pip
pip audit # 检查依赖漏洞
pip-review --auto # 自动更新安全补丁
生产环境安全部署
容器安全配置
使用Docker部署时，遵循容器安全最佳实践：
FROM python:3.9-slim
# Create non-root user
RUN groupadd -r mcpuser && useradd -r -g mcpuser mcpuser
# Install security updates
RUN apt-get update && apt-get upgrade -y && \
apt-get install -y --no-install-recommends \
ca-certificates && \
rm -rf /var/lib/apt/lists/*
# Set working directory
WORKDIR /app
# Copy requirements and install dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Copy application code
COPY . .
# Set ownership and permissions
RUN chown -R mcpuser:mcpuser /app
USER mcpuser
# Run application
CMD ["python", "main.py"]
Kubernetes网络策略
在Kubernetes环境中配置网络策略限制Pod通信：
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: mcp-use-policy
spec:
podSelector:
matchLabels:
app: mcp-use
policyTypes:
- Ingress
- Egress
ingress:
- from:
- podSelector:
matchLabels:
app: frontend
ports:
- protocol: TCP
port: 8000
egress:
- to: []
ports:
- protocol: TCP
port: 443 # HTTPS only
总结与后续步骤
定期安全漏洞扫描是保障mcp-use系统安全的关键实践。通过本文介绍的配置强化、工具访问控制、日志审计和定期检查等措施，可以有效降低安全风险。
官方安全文档：Security Best Practices
安全漏洞报告：请通过CONTRIBUTING.md中提供的渠道提交安全问题。
建议定期执行安全自查，并关注项目的安全更新公告，保持系统处于最佳安全状态。
【免费下载链接】mcp-use 项目地址: https://gitcode.com/gh_mirrors/mc/mcp-use
创作声明：本文部分内容由AI辅助生成（AIGC），仅供参考
