Get real track BPM, key, mood, and genre metadata for analysis.
Overall, this appears to be an officially registered MCP tool with no extra credential requirements and recent maintenance, which lowers risk. Main points to watch are its external connection to mcp.freqblog.com and its code-execution capability, though no concrete red flags are shown in the material.
No keys, tokens, or environment variables are required, and the material shows no sign of credential collection or abuse.
It connects to the declared remote endpoint mcp.freqblog.com, which means requests/data may be sent to an external service as part of normal MCP operation; no unknown or unrelated endpoints are indicated.
System checks show executes-code, meaning the tool can execute code or spawn processes locally; this is a high-privilege capability, but the material provides no concrete evidence of misuse beyond its stated function.
Its function is to fetch audio features (BPM, key, mood, genre), which typically involves processing user-provided track/query data; there is no indication of local file access or overly broad data access.
The source is an official Registry entry with updates in the past year, which is a positive signal; however, the repository is not auditable, no license is declared, and community adoption is 0 stars, so supply-chain transparency is limited.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "FreqBlog Music Metadata" MCP server from askskill: Run: claude mcp add --transport http 'com-freqblog-music-metadata' 'https://mcp.freqblog.com/mcp'
No documentation provided
Check the source repo for usage and examples.
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