"How to view GitHub repository history" matching MCP servers:

This MCP server enables Claude to speak summaries, announcements, and explanations aloud using text-to-speech — right from your terminal.

Enables LLM agents to process local videos into timestamped, citable text documents and then query them through tools for listing videos, retrieving transcripts, and fetching specific segments, all fully offline.

Enables converting text to speech audio in 20+ languages, returning base64-encoded MP3 output via Google TTS with x402 micropayment-based pay-per-call access.

Enables AI agents to transcribe Instagram Reels into text by providing a tool that accepts a Reel URL and returns the speech transcript along with metadata such as author and duration.

Text-to-speech MCP server that enables AI assistants to read text aloud on the user's computer using Windows SAPI, with no API key or cloud service required.

Enables downloading videos from platforms like YouTube and converting them to text using OpenAI Whisper and ffmpeg. It supports multiple output formats including TXT, JSON, SRT, and VTT for transcriptions.

An MCP server that provides speech-to-text transcription and speaker diarization using OpenAI Whisper and pyannote.audio.

Enables text-to-speech conversion using Google Translate's TTS, supporting many languages and accents, and saving MP3 files.

Enables users to convert text into high-quality audio by accessing the OpenAI Text-to-Speech API. It supports customizable model selection and voice options for synthesized speech generation via the MCP protocol.

Enables agents to convert text to speech using OpenAI's TTS models with voice selection, delivery instructions, and queue-based audio playback. Supports both blocking and non-blocking modes for flexible audio generation and playback control.

An MCP server that enables voice-to-voice AI conversations using ElevenLabs for speech synthesis and recognition, with tools for voice management, text-to-speech, and speech-to-text.

Enables MCP clients such as Claude to generate spoken audio locally, narrating English with Kokoro and Malayalam with IndicF5, Parler-TTS, Piper or MMS, including cloned Malayalam voices, pronunciation lexicons, and number/currency expansion. Outputs loudness-normalised WAV or MP3 and runs long narrations through a pollable job queue so tool calls never time out.

Enables submitting audio via URL or Base64 for local Whisper transcription, then checking job status and results or deleting transcription jobs. It provides asynchronous job handling and SSRF-protected downloads/callbacks without cloud API calls.

Audio perception for AI agents. Measure loudness, clipping, noise and pitch; view spectrograms; split audio into events; transcribe speech; compare before/after; and clean up, edit or synthesize sound. Runs locally, no API keys.

Enables searching and managing local clipboard and transcription history on macOS, and provides contact resolution, profile lookup, and log-append tools for a voice-driven Android launcher while keeping data on the Mac.

Connects to the TypeWhisper macOS app to let coding agents transcribe local files, inspect model status, search history, and manage dictionary terms and corrections.

Provides read-only access to local voice-to-text transcription history from the SayAll wireless mic app on macOS. Enables MCP-compatible assistants to query and paginate past transcripts by time and app with strong privacy boundaries.

Enables users to run and control Claude Code from Telegram around the clock, with two-way voice notes, persistent memory across restarts, scheduled reminders, and a live view of each tool call as it runs.

Enables running Claude Code around the clock through Telegram, with voice notes exchanged in both directions, a self-healing daemon that keeps sessions alive, memory and history preserved across restarts, and a live view of every tool call as it happens.

Exposes the program's push-to-talk transcript history to MCP clients such as Claude Desktop and Claude Code, letting them fetch recent or latest transcripts, query results by time window, range, or ISO timestamp, search text, look up records by id, and read counts, runtime status, or clear history. Each result carries millisecond-precision hold start/end timestamps alongside the transcribed text.

Enables an agent to process local video files and then read, search and inspect the results: timestamped transcripts, on-screen text and key frames as images. Everything runs locally, so an agent can answer questions like how to perform a task shown in a screencast or meeting recording.

Lets an MCP client read your screen-and-voice recordings — timed transcripts and the frames that matter — so it can write up tasks with screenshots and file them on GitHub Issues, Linear, Jira, Trello, Asana or Azure DevOps. Everything is transcribed locally, so the agent does the AI work on your own subscription.

Gives an AI assistant its own real phone number and email address so it can place and answer calls, book reservations by phone, send and receive texts, and read written summaries, structured details, and transcripts of every conversation. Also manages contacts, persona and voice settings, webhooks, and a unified call/message history through a hosted OAuth-secured MCP endpoint requiring no local code.

Enables running Claude Code continuously from Telegram, with two-way voice notes, persistent memory across restarts, a self-healing daemon, and live progress showing every tool call as it happens. Also supports scheduled reminders, calendar access, inline-button prompts, message history search, and a Mini App board for monitoring sessions and token use.

Enables running Claude Code around the clock from Telegram, with transcribed and spoken voice messages both ways, persistent memory and history across restarts, scheduled messages and calendar access, and live visibility into every tool call and session. A self-healing daemon keeps it running unattended, and permission prompts, long answers, and multi-agent boards are all handled from chat.

Enables voice-based early cognitive screening through an 8-step questionnaire, scoring responses with a SageMaker-hosted risk model and persisting session history to S3 for progress tracking.

Enables agents to discover devices, query their capabilities, invoke system calls, and stage resources or deliver apps to connected WishOS hardware through a self-hosted connector and relay. It routes device-initiated tasks into an existing harness session (Codex, Claude Code, and others), keeping inference, tools, and history with that agent while handling voice, interface, and app transfer to the device.

Enables AI agents to place approved outbound calls to Indian (+91) phone numbers, deliver a message, and ask up to 8 questions in Hindi, English, or other Indian languages, then return a summary, per-question answers, transcript, and recording link. Also lets agents check remaining minutes and review recent call history.

Enables a voice assistant to keep a shared, persistent memory of a household's kitchen, turning spoken remarks into pantry updates, scaled recipes, a cart, and confirmed grocery orders. Household members can ask what can be made and for how many, review what is low or out, and place or restock simulated orders only after explicit confirmation.

Enables voice-driven caregiving check-ins through Alexa+, letting family members ask how a parent living alone is doing, trigger a check-in, or acknowledge they are handling an alert, while the parent can confirm "I'm OK" by voice. Status tools also render an MCP Apps card for at-a-glance display.