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Dynamically wraps Python SDKs as MCP servers for direct LLM tool use.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Duck Punch MCP" yet — see the docs or source repo.
Explain how to use Duck Punch MCP to wrap the Google Cloud and Google SecOps Python SDKs into MCP services callable by an LLM, and provide the basic setup steps.
A setup guide covering dependency installation, authentication, service startup, and an overview of callable capabilities.
I want an AI agent to call a SOAR Python SDK through Duck Punch MCP. Provide an example approach including tool exposure, permission considerations, and the invocation flow.
An example integration plan showing how to safely expose SOAR operations for LLM use.
Based on Duck Punch MCP’s design, help me summarize which existing Python SDKs it is suitable for wrapping, the best use cases, and the pros and cons of adopting it in an enterprise.
An evaluation checklist to help a team decide which SDKs should be exposed to LLMs through MCP.
Safely let LLMs operate Gmail, Drive, and Calendar via MCP.
Analyze Android and iOS app packages for security issues via natural language.
Secure LLM and MCP tool interactions with zero-trust controls and policy enforcement.
Use DuckDuckGo web and image search inside MCP-enabled AI workflows.
Analyze AI security, scan vulnerabilities, and monitor code leaks efficiently.
Call tools like weather lookup via MCP with reusable resources and prompts.