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mcp-security
by jpoutrin
Claude Code Marketplace Plugin to dev like a pro in a multi-agent fashion
⭐ 4🍴 0📅 2026年1月22日
SKILL.md
name: mcp-security description: Multi-agent and MCP pipeline security with 5-layer defense architecture. Use when building MCP servers, multi-agent systems, or any pipeline that handles user input to prevent prompt injection and ensure proper authorization.
MCP Security Skill
This skill enforces security best practices for MCP servers and multi-agent pipelines.
5-Layer Defense Architecture
- Input Validation - Sanitize all user inputs
- Prompt Injection Prevention - Detect and block injection attempts
- SQL/NoSQL Validation - Prevent query injection
- User Context Propagation - Maintain identity through pipeline
- Authorization (RBAC/ABAC) - Enforce access controls
Prompt Injection Prevention
# Always validate and sanitize inputs
def sanitize_input(user_input: str) -> str:
# Remove potential injection patterns
# Escape special characters
# Limit length
pass
# Never directly concatenate user input into prompts
# ❌ Bad
prompt = f"Process this: {user_input}"
# ✅ Good
prompt = sanitize_input(user_input)
validated_prompt = validate_against_schema(prompt)
User Context Propagation
@dataclass
class UserContext:
user_id: str
roles: list[str]
permissions: list[str]
tenant_id: str
# Pass context through all pipeline stages
async def process_request(context: UserContext, request: Request):
# Validate permissions at each step
if not has_permission(context, "read:data"):
raise AuthorizationError()
Authorization Patterns
RBAC (Role-Based Access Control)
ROLE_PERMISSIONS = {
"admin": ["read", "write", "delete", "admin"],
"editor": ["read", "write"],
"viewer": ["read"],
}
ABAC (Attribute-Based Access Control)
def can_access(user: User, resource: Resource) -> bool:
return (
user.department == resource.department
and user.clearance >= resource.sensitivity
)
Security Checklist
- All user inputs validated and sanitized
- Prompt injection patterns detected
- SQL queries parameterized
- User context propagated through pipeline
- Authorization checked at each step
- Sensitive data encrypted
- Audit logging enabled
スコア
総合スコア
60/100
リポジトリの品質指標に基づく評価
✓SKILL.md
SKILL.mdファイルが含まれている
+20
✓LICENSE
ライセンスが設定されている
+10
○説明文
100文字以上の説明がある
0/10
○人気
GitHub Stars 100以上
0/15
○最近の活動
3ヶ月以内に更新がある
0/10
○フォーク
10回以上フォークされている
0/5
✓Issue管理
オープンIssueが50未満
+5
✓言語
プログラミング言語が設定されている
+5
○タグ
1つ以上のタグが設定されている
0/5
レビュー
💬
レビュー機能は近日公開予定です