Licensing Hardening MCP Server
A deliberately vulnerable MCP server for local authority licensing, designed to demonstrate and fix native MCP weaknesses such as SQL injection and tool poisoning.
README
Harden the local-authority licensing assistant's MCP server
Local authority — licensing team. The assistant answers questions about taxi and premises licences — "is licence 9003 active, and what did the last inspection say?" — so officers don't dig through the case system by hand. This MCP server is how it reaches the licensing database. A colleague "improved" it before they left; it works, it demos cleanly, and it carries every native MCP weakness from this afternoon. Work through it on your own.
Get it running
Plain Python — no Docker, no Git.
pip install -r requirements.txt
python seed.py # builds licensing.db (includes a planted inspection note)
See the attacks land before you fix anything:
python exploit.py # SQL injection + over-exposure of home addresses / DBS status
python poisoning_demo.py # a tool whose DESCRIPTION carries hidden instructions
Your task
Harden server.py so the native attacks fail while legitimate use still works.
Work through them in this order:
- Result injection —
read_inspection_notehands raw note text back to the model. Return it labelled as untrusted data, and rely on a system-prompt rule that labelled data is content, never command. (Licensee 3's note is an instruction to suspend a licence — the note-reader andsuspend_licence, each harmless, compose into a suspension.) - Tool poisoning —
format_reference's description contains hidden instructions. Review every description; a server you do not trust should not reach the model's context. Neutralise it. - Confused deputy —
suspend_licenceis state-changing and unscoped. Put it behind a scope check, and reject any bearer token whoseaudis not this server (the Week 5 discipline). - Inherited — parameterise
find_licenseeand return only the columns the assistant needs (neverhome_address,dbs_status, orinspection_notes). - Audit — append every tool call to a log.
You are done when poisoning_demo.py finds nothing in your descriptions and
exploit.py's payloads are rejected, while a normal find_licensee("Aisha") still
returns a result.
Stretch
- Add a real
audcheck: decode the presented token and refuse a foreign audience. - With two servers connected to one host, how would a malicious second server reach
this one's
suspend_licence? Write down the control that stops it.
Files
| File | Contents |
|---|---|
server.py |
The vulnerable MCP server — the thing you harden. |
seed.py |
Builds licensing.db — the licensees and licences tables. |
exploit.py |
Proves the inherited flaw (SQL injection + over-exposure). |
poisoning_demo.py |
Prints the model-facing descriptions; flags the poisoned one. |
requirements.txt |
fastmcp. |
Questions worth asking yourself
- Which of your fixes are MCP-specific, and which are ordinary secure coding?
- A description you did not write reached your model. Whose job is it to have caught that — the server author, the host, or the person who approved it?
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。