MCP server · Arpeggi Labs

arpeggi-labs-kits

Candidate MCP server for the Kits AI API. No official hosted/remote MCP server was found published by Arpeggi Labs at enrichment time; this is a derived candidate tool list, one tool per OpenAPI operation, to seed an MCP wrapper.

View descriptor → Arpeggi Labs provider profile

One-click install for Cursor, VS Code, Claude, and 20+ other MCP clients, powered by API Commons MCP Install — visit install.apicommons.org for more information.

⚠ Proposed MCP surface. No official hosted MCP server was found for Arpeggi Labs. The tools below are a candidate set derived from this provider's API, and the link points at the source descriptor rather than a live server. If Arpeggi Labs publishes an official server, this page will update to it on the next build.

Provider: Arpeggi Labs Type: Candidate descriptor Transport: stdio Host: raw.githubusercontent.com

Descriptor

https://raw.githubusercontent.com/api-evangelist/arpeggi-labs/refs/heads/main/mcp/arpeggi-labs-mcp.yml

Candidate descriptor · transport stdio

Tools

create_voice_conversion — Create a voice conversion job (convert input audio to a target voice model).
get_voice_conversion — Fetch a voice conversion job by id.
list_voice_conversions — List voice conversion jobs.
create_stem_split — Create a stem splitter job (split audio into vocal and instrument stems).
get_stem_split — Fetch a stem splitter job by id.
list_stem_splits — List stem splitter jobs.
create_vocal_separation — Create a vocal separation job (isolate vocals from a track).
get_vocal_separation — Fetch a vocal separation job by id.
list_vocal_separations — List vocal separation jobs.
create_voice_blend — Create a voice blender job (blend 2-4 voice models into a new model).
get_voice_blend — Fetch a voice blender job by id.
list_voice_blends — List voice blender jobs.
list_voice_models — List available voice models (filter by myModels or instruments).
get_voice_model — Fetch a voice model by id.

About MCP

The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.

Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.