scopeguard-mcp

scopeguard-mcp

Enables policy-first defensive security operations for MCP, providing repository and web-security analysis with controlled authorization, scoped execution, and auditability.

Category
访问服务器

README

ScopeGuard MCP

CI Python MCP License

ScopeGuard is a policy-first defensive security operations server for MCP. It gives AI clients useful repository and web-security analysis while keeping authorization, execution, target scope, and auditability under operator control.

It is designed as a safer, maintainable alternative to broad shell-driven pentest orchestrators. “Better” here means stronger trust boundaries and engineering quality—not more autonomous exploitation.

The comparison below uses the public HexStrike AI v6 repository as the reference baseline. ScopeGuard is built on the official MCP Python SDK 2.x.

Why ScopeGuard

Boundary ScopeGuard HexStrike AI v6 reference inspected
Protocol Official MCP Python SDK 2.x FastMCP dependency below 1.0
Architecture Small modules with explicit domain boundaries Two main Python scripts totaling about 22k lines
Client transport Local stdio only MCP client plus local Flask execution API
Authorization Expiring engagements, target scopes, capabilities Caller-supplied targets sent to execution endpoints
Execution Operator-created execute engagement and server-side environment gate Tool call can directly launch commands
Process control No arbitrary shell or command tool Broad subprocess wrappers
Audit SQLite WAL plus a verifiable SHA-256 hash chain Conventional logs
Secret handling Findings are fingerprinted; matched values are never returned Tool output may contain raw secrets
Quality CI matrix, linting, packaging, 90% coverage floor No test or CI suite visible in the inspected tree

ScopeGuard does not include exploit generation, password attacks, payload generation, credential capture, or autonomous attack-chain execution.

Included tools

  • health — safety posture, supported capabilities, and audit-chain status
  • create_dry_run_engagement — create an expiring, non-executing scope from MCP
  • revoke_engagement — stop an engagement immediately
  • check_scope — normalize and evaluate a URL, domain, IP/CIDR, or file target
  • plan_assessment — produce a bounded web or repository baseline plan
  • analyze_headers — inspect caller-supplied HTTP headers without making a request
  • scan_repository — read-only built-in Python risk and secret checks
  • list_audit_events and verify_audit_chain — inspect and verify evidence

Quick start

Python 3.11 or newer is required.

python -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip
pip install -e .

scopeguard doctor
scopeguard-mcp

Configure an MCP client to launch the local stdio server:

{
  "mcpServers": {
    "scopeguard": {
      "command": "/absolute/path/to/scopeguard-mcp/.venv/bin/scopeguard-mcp",
      "env": {
        "SCOPEGUARD_STATE_DIR": "/absolute/path/to/scopeguard-state"
      }
    }
  }
}

Authorization workflow

MCP clients can create only dry-run engagements. They can check scope, build plans, and perform offline header analysis, but repository execution remains planned.

For a real read-only repository scan, the operator must create an execute engagement outside the model and launch the server with execution enabled:

export SCOPEGUARD_STATE_DIR=/absolute/path/to/scopeguard-state
export SCOPEGUARD_ALLOWED_ROOTS=/absolute/path/to/authorized-repositories
export SCOPEGUARD_EXECUTION_ENABLED=true

scopeguard create-engagement \
  --title "Repository security baseline" \
  --ticket SEC-1234 \
  --target file:/absolute/path/to/authorized-repositories/example \
  --capability scan:repository \
  --capability audit:read \
  --mode execute \
  --expires-in-minutes 60

scopeguard-mcp

The returned engagement ID is required by scan_repository. Both the engagement file scope and SCOPEGUARD_ALLOWED_ROOTS must contain the requested path. Symlinks are resolved before either policy is evaluated.

Capabilities

Capability Allows
plan:assessment Bounded web/repository planning for an in-scope target
analyze:headers Offline analysis of supplied HTTP headers
scan:repository Built-in read-only scan, subject to both execution gates
audit:read Reading engagement-specific audit events

Configuration

Variable Default Purpose
SCOPEGUARD_STATE_DIR <cwd>/.scopeguard SQLite state and audit database
SCOPEGUARD_ALLOWED_ROOTS current directory Path-separated operator allowlist
SCOPEGUARD_EXECUTION_ENABLED false Enables execute engagements when true
SCOPEGUARD_MAX_FILES 5000 Repository scan file ceiling
SCOPEGUARD_MAX_FILE_BYTES 1000000 Per-file read ceiling

The MCP server intentionally exposes only stdio. A future network transport must ship with standards-based authentication, request-size limits, and explicit deployment guidance; binding an unauthenticated security service to a port is not accepted here.

Repository analyzer

The dependency-free analyzer currently detects:

  • Python eval / exec
  • os.system / os.popen
  • subprocess calls with shell=True
  • unsafe Pickle deserialization
  • yaml.load without a safe loader
  • private-key blocks, AWS access keys, GitHub tokens, and likely hard-coded secrets

Secret values are never returned. Findings contain only rule metadata, location, and a short one-way fingerprint for correlation.

Development

pip install -e ".[dev]"
ruff check .
pytest
python -m build

The test suite includes a real in-memory MCP v2 discovery and tool-call round trip.

See ARCHITECTURE.md, SECURITY.md, and CONTRIBUTING.md for design and project policy.

Responsible use

Use ScopeGuard only on repositories and systems you own or are explicitly authorized to assess. The project is defensive tooling, not authorization to test a target.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选