AI music generation through the Producer/Riffusion model on the AceDataCloud platform.
Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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acedatacloud
Source: PulseMCP · also listed on Glama
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ACEDATACLOUD_API_TOKENexport ="your_token_here"ACEDATACLOUD_API_BASE_URLAPI base URL https://api.acedata.cloudPRODUCER_DEFAULT_MODELDefault FUZZ model FUZZ-2.0PRODUCER_REQUEST_TIMEOUTRequest timeout in seconds 1800MCP_SERVER_NAMEMCP_TRANSPORTLOG_LEVELLogging level INFOMCP_SERVER_URLACEDATACLOUD_OAUTH_CLIENT_IDOAuth client ID (hosted mode) --Tool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
18/18 tools missing one or more hints — producer_generate_music (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); producer_generate_custom_music (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); producer_extend_music (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +15 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool test coverage
12/18 tools referenced in tests (67%)
Write tests that reference each tool by name so every tool has at least one test.
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