Security
prowler-mcp - Claude MCP Skill
Creates MCP tools for Prowler MCP Server. Covers BaseTool pattern, model design, and API client usage. Trigger: When working in mcp_server/ on tools (BaseTool), models (MinimalSerializerMixin/from_api_response), or API client patterns.
SEO Guide: Enhance your AI agent with the prowler-mcp tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to creates mcp tools for prowler mcp server. covers basetool pattern, model design, and api client usag... Download and configure this skill to unlock new capabilities for your AI workflow.
Documentation
SKILL.md## Overview
The Prowler MCP Server uses three sub-servers with prefixed namespacing:
| Sub-Server | Prefix | Auth | Purpose |
|------------|--------|------|---------|
| Prowler | `prowler_*` | Required | Prowler Cloud, Private Cloud & Local Server management tools |
| Prowler Hub | `prowler_hub_*` | No | Security checks catalog |
| Prowler Docs | `prowler_docs_*` | No | Documentation search |
For complete architecture, patterns, and examples, see [docs/developer-guide/mcp-server.mdx](../../../docs/developer-guide/mcp-server.mdx).
---
## Critical Rules (Prowler Tools Only)
### Tool Implementation
- **ALWAYS**: Extend `BaseTool` (auto-registered via `tool_loader.py`, only public methods from the class are exposed as a tool)
- **NEVER**: Manually register BaseTool subclasses
- **NEVER**: Import tools directly in server.py
### Models
- **ALWAYS**: Use `MinimalSerializerMixin` for responses
- **ALWAYS**: Implement `from_api_response()` factory method
- **ALWAYS**: Use two-tier models (Simplified for lists, Detailed for single items)
- **NEVER**: Return raw API responses
### API Client
- **ALWAYS**: Use `self.api_client` singleton
- **ALWAYS**: Use `build_filter_params()` for query parameters
- **NEVER**: Create new httpx clients
---
## Hub/Docs Tools
Use `@mcp.tool()` decorator directly—no BaseTool or models required.
---
## Quick Reference: New Prowler Tool
1. Create tool class in `prowler_app/tools/` extending `BaseTool`
2. Create models in `prowler_app/models/` using `MinimalSerializerMixin`
3. Tools auto-register via `tool_loader.py`
---
## QA Checklist (Prowler Tools)
- [ ] Tool docstrings describe LLM-relevant behavior
- [ ] Models use `MinimalSerializerMixin`
- [ ] API responses transformed to simplified models
- [ ] Failures are **raised**, never returned. A returned error dict is reported
as a success. Raise `InvalidArgument` for a bad argument, let
`ProwlerAPIError`/`ProwlerAPIUnreachable` propagate, and raise `ToolError`
**without a `from` clause** only for a sentence `lib/errors.py` cannot know
(a resource name, a precondition, the next tool to call)
- [ ] Parameters use `Field()` with descriptions
- [ ] No hardcoded secrets
- [ ] Tests added under `mcp_server/tests/`
---
## Resources
- **Full Guide**: [docs/developer-guide/mcp-server.mdx](../../docs/developer-guide/mcp-server.mdx)
- **Templates**: See [assets/](assets/) for tool and model templates
- **Testing**: See [prowler-test-mcp](../prowler-test-mcp/SKILL.md) for fixtures and test patternsSignals
Information
- Repository
- prowler-cloud/prowler
- Author
- prowler-cloud
- Last Sync
- 9/5/2026
- Repo Updated
- 9/4/2026
- Created
- 1/12/2026
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