SecurityStack MCP
Unified MCP server that gives AI agents security tools to audit MCP configs, redact secrets/PII, vet skills, check dependencies, and scan networks.
README
SecurityStack MCP
Give your AI agent the ability to secure its own environment — one MCP config, six tools.
Audit MCP configs for poisoning, redact secrets/PII before they leave for an LLM, vet untrusted skills, monitor dependency health, and actively scan your network. All from a single
securitystackentry in your agent's MCP config.
This is the client: the unified MCP server an AI agent (Claude CLI/Desktop, or any MCP-aware agent) installs to call the SecurityStack hosted services. The backend services themselves are hosted — you don't run them. You configure API keys and your agent gets six security tools.
Why
An AI agent has four ways to get compromised. SecurityStack covers all four:
1. What it INSTALLS → poisoned skills / MCP configs → scan_skill + audit_mcp_server_config
2. What it DEPENDS ON → a dependency goes down/rogue → check_dependencies
3. Where it's EXPOSED → open ports, default creds → network_scan (with AI agent loop)
4. What it SENDS OUT → secrets/PII leak into the LLM → scan_secrets
Two of these — audit_mcp_server_config and scan_secrets — run offline, in-process, with no API
key. They work the moment you install the server. The other four call hosted services (configure
their keys to enable them; each is skipped gracefully if unset).
Install
1. Install the server
# From source (clone this repo, then install):
git clone https://github.com/<your-org>/securitystack-mcp.git
cd securitystack-mcp
pip install .
(A pip install securitystack-mcp from PyPI will be available once published.
Until then, install from source as above.)
2. Add it to your agent
For Claude Desktop / CLI (claude_desktop_config.json or ~/.claude.json):
{
"mcpServers": {
"securitystack": {
"command": "python",
"args": ["-m", "stack.unified_mcp_server"],
"env": {
"ACTIVESCANNER_API_KEY": "ask_live_...",
"DEPSCAN_API_KEY": "dsk_live_...",
"SECURITYSCAN_API_KEY": "ss_live_...",
"SECRETSCAN_API_KEY": "ssc_..."
}
}
}
}
The two offline tools (audit_mcp_server_config, scan_secrets) need no key and work immediately.
The four hosted-service tools activate when you set their key; set only what you use.
Get API keys at securitystack.io (Free tier available — no credit card).
3. Verify
claude mcp list
# securitystack ... Connected
Then ask your agent: "Audit my MCP config for security risks" or "Scan this prompt for secrets before I send it: ..."
The six tools
| Tool | What it does | Needs a key? |
|---|---|---|
audit_mcp_server_config |
Audits an MCP config for tool poisoning, leaked credentials, supply-chain risk, toxic capability pairs (OWASP MCP Top 10). | No — runs offline |
scan_secrets |
Detects & redacts secrets (API keys, tokens, private keys) + PII (email, phone, SSN, credit card, IBAN) in a payload before it leaves for an LLM/API. Runs offline in-process with no key; routes to the backend if a key is set. | No — runs offline |
scan_skill |
Analyzes an untrusted AI skill for prompt injection, malware patterns, OWASP LLM Top 10 — before you install it. | SECURITYSCAN_API_KEY |
check_dependencies |
Checks the health (uptime, SSL, blacklist, trust score) of endpoints your agent depends on. | DEPSCAN_API_KEY |
network_scan |
Active security scan of a device/host with an autonomous AI agent that reasons about findings. Requires authorized: true — only scan what you own. |
ACTIVESCANNER_API_KEY |
full_stack_audit |
All of the above correlated into one prioritized report. | per-tool keys |
Authorization & legality
network_scan performs active scanning. You must set authorized: true to certify you own or
have permission to scan the target. Scanning without authorization may violate the CFAA (US), the
Computer Misuse Act (UK), and similar laws. See the Terms of Service.
License
Apache-2.0. See LICENSE.
推荐服务器
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。