"Steps for analyzing new API documentation and writing test cases" matching MCP servers:

MCP server that wraps MiniMax platform APIs (speech, video, image, music, and file management) as tools over stdio, enabling natural language interaction with MiniMax's AI services.

MCP server providing tools to fetch YouTube video transcripts with metadata, supporting direct YouTube transcripts and audio transcription via multiple backends (whisper, AssemblyAI, OpenAI, Gemini).

Official MCP server for Theta EdgeCloud's On-Demand Model APIs, providing access to 20+ AI models including image generation, audio transcription, and LLMs, directly from MCP-compatible clients.

A low-latency text-to-speech MCP server that uses local Kokoro GGUF inference via TTS.cpp, providing say, get_voices, and get_status tools for AI agents to synthesize speech and manage playback queues.

Enables AI agents to transcribe local audio files or URLs into text with timestamps, chunking, and server status checks.

Transcribe audio/video URLs and detect silence for cutting, with pay-per-call billing in USDC via x402, no account or API key required.

MCP server that scores dialogue transcripts for bridging quality, offering per-speaker indicator scores with evidence and tools for parsing, comparing, and analyzing conversations.

Enables spoken consulting case interview practice through Claude, providing real-time cases, grading on structure, analytics, judgment, and communication, and targeted practice drills.

Provides local audio analysis tools for LLMs, enabling transcription, conversation dynamics, prosody analysis, and visual inspection without API keys.

A Python-based server that provides access to Whissle API endpoints for speech-to-text, diarization, translation, and text summarization.

An MCP server for audio-to-text transcription using Google's Gemini API via OpenRouter, offering multiple tools for raw, cleaned, or formatted transcripts with support for local and remote deployment.

Unofficial MCP server for Memobot, enabling access to user profile, recordings, transcripts, summaries, and account usage through reverse-engineered API endpoints.

Enables AI agents to manage voice agents, place calls, run campaigns, and monitor usage and billing via the Wixzel Phone API.

Enables Claude Code to transcribe audio and video files using the Speechmatics Batch API, with support for speaker diarization, batch processing, and searching transcripts.

MCP server for the AssemblyAI API, providing tools for transcription, subtitles, speaker turns, word search, and LeMUR-based queries.

MCP Server for automated conversational phone calls using Asterisk with Speech-to-Speech capabilities, allowing users to make phone conversations as easily as writing a prompt.

Enables provisioning and managing Vapi inbound answering assistants locally, including templates, phone numbers, tools, structured outputs, and test calls.

Provides various AI capabilities through DeepInfra's OpenAI-compatible API including image generation, text processing, embeddings, speech recognition, object detection, and classification tasks. Enables users to access multiple AI models for diverse tasks like generating images from prompts, transcribing audio, analyzing text sentiment, and performing computer vision operations.

Enables speech recognition, synthesis, and voice listing via Yandex SpeechKit API through 5 tools.

A MCP server that enables transcription of audio files using OpenAI's Speech-to-Text API, with support for multiple languages and file saving options.