Retrieve available assistive-technology profiles for scoring. Use the returned profile IDs with analysis tools to evaluate navigation difficulty for specific screen reader and platform combinations.
Apache 2.0
134,408 tools. Last updated 2026-05-23 19:26
"A platform or tools for creating music" matching MCP tools:
- Retrieve all available ticket priorities from Autotask to obtain priority values for filtering tickets or creating new ones.
- List all connected social media accounts, returning account IDs, platform names, usernames, and health status. Check which platforms are available before creating a post.MIT
- Retrieve all ticket statuses from Autotask to use as filter criteria or when creating new tickets.
- Retrieve a model's complete schema with field definitions, types, validations, and options to understand required fields before creating or updating content.
- Search audit findings by title, severity, or status to check for duplicates before creating a new finding or to locate a specific finding for update or evidence attachment.MIT
Matching MCP Servers
- FlicenseBqualityCmaintenanceEnables music management through search, playlist creation, and intelligent recommendations. Supports searching by song, artist, or album, creating and managing playlists, and getting music recommendations based on genre and mood.Last updated72
- Alicense-qualityCmaintenanceEnables AI assistants to control Apple Music on macOS using AppleScript for playback, library management, and playlist operations. It supports features like searching tracks, managing the play queue, and retrieving detailed metadata through a structured interface.Last updated545MIT
Matching MCP Connectors
Free MCP tools: the only MCP linter, health checks, cost estimation, and trust evaluation.
Free, copyright-safe AI music library for video creators and AI agents.
- Retrieve all configured suppression rules for your tenant to check for duplicates or near-overlaps before creating a new rule, ensuring efficient detection rule management.Apache 2.0
- Download a skill package for your AI platform. Specify skill ID and platform to get an auto-converted package ready for use.MIT
- Generate custom music tracks using AI models by providing prompts and lyrics. Create songs tailored to specific styles, moods, or scenes. Save output in various formats and sample rates for diverse use cases.MIT
- Bridge an active B2B call to a new destination URI for attended transfer, failover, or music-on-hold scenarios.Apache 2.0
- Create a structured music composition plan from a prompt to guide AI music generation. Optionally set duration or base on a source plan.MIT
- Provides step-by-step installation instructions for a skill on a specific platform, enabling guided setup.MIT
- Convert a text prompt or structured composition plan into music and save the audio file to a specified directory. Optionally set music length and define stylistic sections for custom results.MIT
- Define and manage access permissions for resources in the JFrog Platform by creating a new permission target. Specify user and group actions, including READ, WRITE, and MANAGE, for artifacts, builds, and release bundles.Apache 2.0
- Professionally master music tracks with genre-tuned settings including compression, filtering, and loudness optimization for EDM, hip-hop, rock, acoustic, pop, or classical styles.Apache 2.0
- Retrieve all FogBugz users with their IDs, names, and email addresses to identify correct assignees before creating or updating cases.MIT
- Stops music playback, clears listening state, and closes the web player server while keeping the MCP process alive.MIT
- Get the schema definitions, available tools, context variables, and validation rules needed to create custom troubleshooting workflows for Splunk.
- Discover available AI services and their pricing on the Owlvin platform to identify tools for specific tasks before making API calls.
- Generate songs from text descriptions by providing themes or emotions, with AI creating titles, lyrics, and style. Specify instrumental tracks or music styles as needed.MIT