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The materials indicate a narrow function, with no required secrets and no declared remote endpoints; combined with an official registry listing, open-source code, and recent maintenance, the overall risk appears low. Caution is still warranted because the system flags code execution capability, but the provided materials do not show overbroad permissions or suspicious exfiltration red flags.
The materials explicitly state that no keys or environment variables are required, and there is no sign of credential collection, storage, or misuse; risk is low on this dimension.
No remote endpoints are declared, and the description does not state that data is sent to third-party services; based on the provided materials, no explicit egress path is evident.
The objective checks flag code execution capability, indicating it may spawn local processes or execute local code; this is a common MCP-tool capability, and the current materials do not show requests for high-risk system privileges beyond its stated function.
The README is absent, so the exact scope of readable/writable data cannot be confirmed from documentation; since it is an MCP tool with execution capability, local data access should be watched by default, but the materials do not show clear evidence of overbroad access.
The source is an official registry entry, with an auditable open-source repository and updates within the last year, all of which are strong positive signals; although community stars are low and the license is unspecified, these do not by themselves amount to a high-risk red flag.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.patwalls/pulse-mcp" MCP server from askskill: Run: claude mcp add 'io-github-patwalls-pulse-mcp' -- npx -y pulse-mcp
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