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Assess UK AI compliance and classify system risk levels.
This MCP tool has very limited documentation, but the known facts indicate it is an open-source project from an official registry with no declared secrets or remote endpoints, suggesting relatively low overall risk. It should still be treated with caution because MCP tools inherently execute locally, but the provided material shows no clear red flags such as overreach, exfiltration, or credential abuse.
The material explicitly states that no keys or environment variables are required, and no API keys, tokens, or account credentials are mentioned; based on the available facts, credential exposure and abuse risk appears low.
No remote endpoint host is declared, and the material does not describe any need to connect to external services or upload user data; no explicit data egress path is evident.
The system flags this tool as executes-code, meaning it can run code or processes locally; this is a normal MCP-tool capability and warrants caution, but the material does not show requests for privileges beyond its stated purpose.
The material does not specify the exact data read/write scope; as an executable MCP tool, it may typically access local inputs or workspace data, so it should be deployed with least privilege. No explicit overbroad authorization or sensitive resource access is described.
Positive signals include the official registry, an open-source repository, recent maintenance within the last year, and system flags for official source/community trust; these materially reduce supply-chain risk. However, the lack of a README, no declared license, and very low adoption (0 stars) limit auditability and maturity evidence, so fully safe would be premature.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.CSOAI-ORG/uk-ai-act-mcp" MCP server from askskill: Run: claude mcp add 'io-github-csoai-org-uk-ai-act-mcp' -- npx -y uk-ai-act-mcp
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