"Information about creating or finding a resume" matching MCP servers:

Enables detection of AI-generated content in images, videos, audio, and text via the AI or Not API. Supports media analysis tools for deepfakes, synthetic voices, and AI-written text.

MCP server for audio transcription using OpenRouter models, supporting verbatim, cleaned, and custom transcription modes.

Enables MCP-capable chat clients to synthesize speech from text, convert it with a local RVC voice model, and render the result in an inline audio player.

MCP server for SpeechWeave transcription, enabling AI assistants to transcribe local files and URLs via wait-first or async tools.

Render, analyze, and verify audio (WAV or FLAC) through a fully offline, deterministic engine, exposed as MCP tools for AI agents.

A local MCP server that rings a bell through your speakers to provide audible notifications when AI completes tasks or needs attention.

Voice input for Claude Code — speak Vietnamese or English; hold a hotkey, speak, release, and the transcribed text is cleaned and pasted into the input box for editing before sending.

Enables reading and creating projects in a local CapCut draft library through natural language — listing timelines, checking for missing media, and generating new edits from clips, with cuts automatically matched to the beat of a track. It works by cloning an existing draft as a structural template, so new projects inherit CapCut's undocumented file format.

Enables AI models to read and edit your own BandLab songs via natural-language prompts, performing concrete mix operations like adjusting track levels, pan, effects, and arrangement while creating new non-destructive revisions.

Enables agents to search loudspeaker drivers, retrieve Thiele/Small parameters, design sealed or vented boxes, and simulate SPL, impedance, and excursion responses using the OpenISD physics engine.

Enables MCP-compatible agents to split a finished song into vocals, drums, bass, and other stems using local Demucs or a remote command, with asynchronous job status and cancellation.

Enables AI agents to inspect and control Q-SYS audio/video systems via the QRC protocol over TCP, against a real Core or Q-SYS Designer emulator.

An MCP server for OBS Studio that subscribes to events and maintains a history, enabling queries about audio levels, source states, and past actions rather than only one-shot requests.

Enables AI assistants to generate and control real-time audio synthesis through natural language descriptions using SuperCollider. Features 10 built-in synth types, pattern sequencing, audio recording, and server lifecycle management for creating sounds from simple English descriptions.

Enables creating, inspecting, validating, and rendering NES FamiStudio .fms projects from plain JSON without a GUI.

A mock-first MCP server for audio generation that creates placeholder WAV files locally, enabling development and testing of audio workflows without APIs or costs.

A Model Context Protocol server that allows AI assistants to generate music through the Suno API, supporting custom lyrics and style inputs or inspiration-based creation.

Lets AI assistants act as a sound engineer for a Behringer XR18 digital mixer, connecting over OSC/UDP to read status, adjust faders/EQ/gains/mutes, manage monitor mixes, and save or undo changes with safety guards.

Enables AI assistants to transcribe audio files from URLs or local paths using AssemblyAI's services, with support for speaker diarization, language detection, and asynchronous job management through a standardized MCP interface.

An MCP server that enables AI assistants to search, analyze, and retrieve information about audio samples from Freesound.org through their API.