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The available material is sparse: it appears to be an open-source MIT-licensed GitHub MCP tool with no required secrets and no declared remote endpoints. Overall visible risk is relatively low, but caution is still warranted because the README is absent and the system indicates code-execution capability.
The material explicitly states that no keys or environment variables are required, and no API keys, tokens, or account credentials are requested. Based on the available information, credential exposure or abuse appears limited.
The material declares no remote endpoints, and the description does not show evidence of sending user data to external services. From the disclosed information, there is no clear data-egress path.
The objective checks mark this tool as executes-code, indicating it can run code or processes locally. This is a common high-privilege capability for MCP tools and does not by itself justify a high-risk rating, but its actual execution scope should be validated in an isolated environment.
The README is missing, so the material does not confirm what local files, directories, or other data resources it can read or write. Given its code-execution capability, potential local data access should be treated with caution, but there is no evidence of clearly excessive permissions relative to its stated purpose.
The source is an open-source GitHub repository under the MIT license, and it has some community adoption (146 stars), which are positive signals. However, the missing README and unknown maintenance status make it hard to fully assess the actual implementation and dependency surface from the provided material, so supply-chain risk is best rated as caution rather than high risk.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agentic-ai" yet — see the docs or source repo.
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