Testing MCP
A universal AI-powered testing server built on the Model Context Protocol (MCP). Allows AI agents to inspect, execute, test, monitor, debug, and report on software projects.
README
Testing MCP
A universal AI-powered testing server built on the Model Context Protocol (MCP).
Allows AI agents to inspect, execute, test, monitor, debug, and report on software projects.
Quick Start
# Install
pip install -e ".[dev]"
# Install Playwright browsers (for UI testing)
playwright install chromium
# Optional security tools
pip install bandit semgrep trivy
# Start server (SSE mode)
testing-mcp serve
# Or stdio mode (for Claude Desktop, Cursor, etc.)
testing-mcp stdio
MCP Client Configuration
Add to your MCP client config (claude_desktop_config.json, ~/.config/opencode/opencode.json, etc.):
{
"mcpServers": {
"testing-mcp": {
"command": "testing-mcp",
"args": ["stdio"]
}
}
}
Or copy testing-mcp.json to your project root for auto-discovery.
Configuration
Create a testing-mcp.toml file in your project root:
[server]
host = "127.0.0.1"
port = 8080
MCP Tools (31 total)
Core
| Tool | Description |
|---|---|
analyze_project_tool |
Detect language, framework, structure, dependencies |
run_tests |
Discover and execute existing tests |
generate_tests |
AI-generate unit tests (pytest, unittest, Jest) |
generate_report |
Generate Markdown, HTML, or JSON reports |
compare_runs |
Regression comparison between test runs |
suggest_fix |
Root cause analysis and fix suggestions |
inspect_logs |
Log analysis with error pattern matching |
ping |
Health check |
Testing
| Tool | Description |
|---|---|
console_test |
Test console apps (stdin, stdout, exit code) |
fuzz_test |
Fuzz test console apps with random input |
ui_test |
Playwright browser automation |
api_test |
API endpoint testing with schema validation |
discover_endpoints |
Auto-discover API endpoints |
database_validate |
Validate DB migrations, constraints, rollbacks |
performance_test |
Startup time, API latency, load testing |
Security
| Tool | Description |
|---|---|
security_scan |
Run all security scans (modes: all, sast, secrets, headers, tls, deps) |
scan_sast |
Static analysis: SQLi, XSS, CSRF, SSRF, command injection, path traversal, weak crypto |
scan_secrets |
Scan for hardcoded API keys, tokens, credentials, certs |
scan_headers |
Check HTTP security headers (HSTS, CSP, X-Frame-Options, etc.) |
scan_tls |
Validate TLS/SSL certificate |
Visual
| Tool | Description |
|---|---|
take_screenshot_tool |
Capture webpage screenshots |
visual_regression |
Compare screenshots, highlight differences |
create_diff_gif |
Animated GIF between baseline and current |
Platform
| Tool | Description |
|---|---|
detect_mobile |
Detect Android, Flutter, React Native projects |
run_mobile_tests |
Run Android (Gradle) or Flutter tests |
detect_game |
Detect Godot, Unity, Unreal projects |
run_game_tests |
Run game engine tests |
infrastructure_info |
Docker, K8s, CI config detection |
check_docker |
Check Docker availability |
check_kubernetes |
Check Kubernetes availability |
Security Scanning Details
SAST (no external tools required)
12 built-in rules detect:
- SQL Injection — string concatenation, f-string queries
- XSS — innerHTML, dangerouslySetInnerHTML, unsafe templates
- CSRF — csrf_exempt decorators, disabled forgery protection
- SSRF — user-controlled URLs in requests/httpx/fetch
- Command Injection — os.system, subprocess with shell=True, exec/eval
- Path Traversal — open/Path with user-controlled paths
- Weak Crypto — MD5, SHA1, DES, RC4
- Hardcoded Secrets — passwords, API keys, tokens in source
Secret Scanner
20 patterns including: AWS keys, GitHub/GitLab tokens, SSH keys, JWT, Stripe keys, Google API keys, Discord/Slack tokens, database connection strings, PGP keys, npm tokens, Azure connection strings
HTTP Header Scanner
Checks for: Strict-Transport-Security, Content-Security-Policy, X-Content-Type-Options, X-Frame-Options, Referrer-Policy, Permissions-Policy, X-XSS-Protection, Cache-Control, CORS
TLS/SSL Checker
Validates certificates, expiry dates, SAN entries, protocol versions
Project Structure
testing_mcp/
├── analyzers/ # Project detection (language, framework, deps)
├── api/ # API testing (httpx, OpenAPI)
├── database/ # DB validation (migrations, constraints)
├── generators/ # AI test generation
├── performance/ # Benchmarking (Locust)
├── plugins/ # Plugin framework (Language, Framework, Reporter)
├── reporters/ # Report generation (Markdown/HTML/JSON)
├── runners/ # Test executors + analysis (Python, Java, JS, Go, Rust)
├── security/ # SAST, secrets, headers, TLS scanning
├── server/ # MCP server + tool registration
├── ui/ # Playwright UI automation + visual regression
└── utils/ # Configuration, utilities
Running Tests
pip install -e ".[dev]"
pytest testing_mcp/tests/ -v
Docker
docker compose up
License
LGPL v2.1
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