Android Security Analyzer
MCP server for static security analysis of Android application source code.
README
Android Security Analyzer
MCP server for static security analysis of Android application source code. Runs on Cloudflare Workers as a remote MCP server over Streamable HTTP.
What it does
Analyzes Android project source files — without building the project — and returns a structured security report. The analysis covers:
- Manifest analysis — exported components, dangerous permissions, cleartext traffic, debug flags, backup settings, SDK versions
- Gradle/build config — release build misconfigurations, outdated SDKs, suspicious dependencies, hardcoded secrets
- Source code (Java/Kotlin) — insecure WebView, SSL/TLS bypass, weak crypto, SQL injection patterns, process execution, insecure file storage, PendingIntent issues
- XML configuration — network security config weaknesses, overly broad file provider paths
- Secret scanning — API keys, tokens, passwords, private keys, cloud credentials, high-entropy strings
All analysis is regex/pattern-based and runs natively in the Workers runtime with no external tools, Java, or Android SDK required.
Architecture
POST /mcp ──► McpServer (JSON-RPC 2.0) ──► Tool Router
│
┌───────────────────────────────┘
▼
Orchestrator
│
┌─────────┼─────────┬─────────────┬──────────────┐
▼ ▼ ▼ ▼ ▼
Manifest Gradle Source Code XML Config Secret
Analyzer Analyzer Analyzer Analyzer Scanner
│ │ │ │ │
└─────────┴─────────┴─────────────┴──────────────┘
│
▼
Scoring + Deduplication ──► AnalysisReport
Key design decisions:
- Stateless — no sessions, no Durable Objects
- Minimal MCP JSON-RPC 2.0 implementation (no heavy SDK dependencies)
- Data-driven rule engine with extensible rule registry
- Independent analyzers with unified Finding type
- Lightweight XML parsing via
fast-xml-parser - Input validation via
zod - Bundle size: ~66KB gzipped
MCP Tools
| Tool | Description |
|---|---|
analyze_android_project |
Full security analysis of project files |
list_android_security_checks |
List all implemented security rules |
explain_finding |
Detailed explanation of a specific rule |
health |
Server status and rule engine stats |
Install
Hosted server (recommended for Cline / MCP clients): no local install needed. The server runs at:
https://android-security-analyzer.ako-labs.workers.dev/mcp
Add this URL to your MCP client configuration (see Connecting from an MCP client below).
Local development:
npm install
Development
npm run dev
This starts a local Wrangler dev server. The MCP endpoint is available at http://localhost:8787/mcp.
Deploy
npm run deploy
Deploys to Cloudflare Workers. Requires wrangler authentication (npx wrangler login).
Testing
npm test # Run all tests
npm run test:watch # Watch mode
npm run typecheck # TypeScript type checking
Local MCP Testing
Initialize the connection
Unix:
curl -X POST http://localhost:8787/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'
Windows (PowerShell):
(Invoke-WebRequest -Method Post -Uri "http://localhost:8787/mcp" -ContentType "application/json" -Body '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}' -UseBasicParsing).Content
List available tools
Unix:
curl -X POST http://localhost:8787/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":2,"method":"tools/list"}'
Windows (PowerShell): ответ приходит в result.tools; чтобы увидеть список как JSON, используйте сырой ответ:
(Invoke-WebRequest -Method Post -Uri "http://localhost:8787/mcp" -ContentType "application/json" -Body '{"jsonrpc":"2.0","id":2,"method":"tools/list"}' -UseBasicParsing).Content
Либо через объект: (Invoke-RestMethod ...).result.tools | ConvertTo-Json -Depth 5
Check health
Unix:
curl -X POST http://localhost:8787/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"health","arguments":{}}}'
Windows (PowerShell):
(Invoke-WebRequest -Method Post -Uri "http://localhost:8787/mcp" -ContentType "application/json" -Body '{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"health","arguments":{}}}' -UseBasicParsing).Content
Run analysis (minimal example)
Unix:
curl -X POST http://localhost:8787/mcp \
-H "Content-Type: application/json" \
-d '{
"jsonrpc": "2.0",
"id": 4,
"method": "tools/call",
"params": {
"name": "analyze_android_project",
"arguments": {
"projectName": "TestApp",
"files": [
{
"path": "app/src/main/AndroidManifest.xml",
"content": "<manifest><application android:debuggable=\"true\" android:allowBackup=\"true\"></application></manifest>"
}
]
}
}
}'
Windows (PowerShell):
$body = @{
jsonrpc = "2.0"
id = 4
method = "tools/call"
params = @{
name = "analyze_android_project"
arguments = @{
projectName = "TestApp"
files = @(
@{
path = "app/src/main/AndroidManifest.xml"
content = "<manifest><application android:debuggable=`"true`" android:allowBackup=`"true`"></application></manifest>"
}
)
}
}
} | ConvertTo-Json -Depth 10
(Invoke-WebRequest -Method Post -Uri "http://localhost:8787/mcp" -ContentType "application/json" -Body $body -UseBasicParsing).Content
Connecting from an MCP client
Add to your MCP client configuration:
{
"mcpServers": {
"android-security-analyzer": {
"url": "http://localhost:8787/mcp"
}
}
}
For production (hosted):
{
"mcpServers": {
"android-security-analyzer": {
"url": "https://android-security-analyzer.ako-labs.workers.dev/mcp"
}
}
}
Security Rules
The analyzer implements 53 security rules across 5 categories:
| Category | Prefix | Rules | Examples |
|---|---|---|---|
| Manifest | MAN-* | 17 | debuggable, allowBackup, exported components, permissions |
| Gradle | GRD-* | 9 | release config, SDK versions, dependencies, secrets |
| Source | SRC-* | 17 | WebView, SSL/TLS, crypto, injection, file storage |
| XML Config | XML-* | 4 | network security config, file provider paths |
| Secret | SEC-* | 7 | API keys, tokens, passwords, cloud credentials |
Each finding includes:
- Stable rule ID
- Severity (critical/high/medium/low/info) and confidence (high/medium/low)
- File path and line number (when determinable)
- Evidence snippet
- CWE and OWASP Mobile Top 10 mappings
- Actionable recommendation
Scoring
Risk score (0-100) is computed from finding severities:
- Critical: 9 points
- High: 6 points
- Medium: 3 points
- Low: 1 point
- Info: 0 points
The raw sum is normalized against an expected maximum of 50 points.
Limitations
- Not a SAST replacement — pattern/regex-based heuristics, not full AST/dataflow analysis
- No build required — analyzes raw source, so build-time transforms are not visible
- False positives possible — especially for secret scanning and some code patterns
- Workers constraints — 128MB memory limit, CPU time limits, no filesystem access
- No APK/AAB analysis — source code only
- No inter-procedural analysis — patterns are matched per-file, not across call graphs
Project Structure
src/
├── index.ts # Worker entry point
├── server/
│ ├── mcp.ts # MCP JSON-RPC 2.0 handler
│ └── tools/ # MCP tool implementations
│ ├── analyzeAndroidProject.ts
│ ├── listAndroidSecurityChecks.ts
│ ├── explainFinding.ts
│ └── health.ts
├── core/
│ ├── types.ts # TypeScript types & Zod schemas
│ ├── scoring.ts # Risk score computation
│ ├── registry.ts # Rule registry
│ └── orchestrator.ts # Analysis orchestrator
├── analyzers/
│ ├── manifestAnalyzer.ts
│ ├── gradleAnalyzer.ts
│ ├── sourceAnalyzer.ts
│ ├── xmlConfigAnalyzer.ts
│ └── secretScanner.ts
├── parsers/
│ ├── xml.ts # XML parser wrapper
│ ├── gradle.ts # Gradle file parser
│ ├── source.ts # Source code pattern matcher
│ └── files.ts # File classifier
├── rules/
│ ├── manifestRules.ts
│ ├── gradleRules.ts
│ ├── sourceRules.ts
│ ├── xmlRules.ts
│ └── secretRules.ts
├── mappings/
│ ├── cwe.ts # CWE descriptions
│ └── owaspMobile.ts # OWASP Mobile Top 10
└── utils/
├── lines.ts # Line number utilities
├── paths.ts # Path classification
└── text.ts # Text utilities
test/
├── fixtures/ # Sample Android project files
├── unit/ # Unit tests per module
└── integration/ # Full analysis integration tests
Adding New Rules
- Define the rule in the appropriate file under
src/rules/ - Add detection logic in the corresponding analyzer under
src/analyzers/ - Add CWE mapping in
src/mappings/cwe.tsif needed - Add a test case
- The rule is automatically registered via
src/core/registry.ts
License
MIT
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。