You’ve got hours of recordings sitting in folders, but your AI assistant can’t touch them. That’s the gap Model Context Protocol servers are closing in 2026. MCP is an open protocol supported by AI assistants and development tools, including Claude, ChatGPT, Visual Studio Code, and Cursor, allowing them to connect to external tools and data sources through a common interface.
The right MCP server can transform scattered recordings into an AI-accessible knowledge base. Instead of copying and pasting transcripts into an assistant, you can let it browse an authorized media library, retrieve transcripts for analysis, and, depending on the platform, generate exports or start new transcription jobs.
For research teams analyzing interviews, legal firms managing depositions, or production companies handling multilingual content, the important distinction is not simply whether a platform supports MCP. It is what the MCP server can access, whether it can create or only retrieve content, and how it fits into the rest of the transcription workflow.
Sonix is a strong file-focused option for teams processing uploaded audio and video rather than relying exclusively on live meeting capture. It is designed for workflows involving interviews, podcasts, legal recordings, lectures, research archives, and other existing media libraries.
Bu Sonix MCP server lets compatible AI assistants securely access a Sonix library through OAuth 2.1. Sonix documents support for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, VS Code, and other MCP-compatible clients. Connected assistants can browse recordings, retrieve transcripts for summarization or Q&A, generate text, SRT/VTT, or JSON exports, and check account status.
MCP access is currently read-only. It is intended for safe access to existing media and transcripts rather than creating transcriptions, translations, or edits. Only account owners and producers can authorize MCP connections, and trials and free accounts cannot connect. MCP access is included with every paid Sonix plan at no separate charge, although normal transcription usage charges still apply.
For developers and operations teams, the Sonix CLI provides the automation side of the workflow. It can upload and transcribe media, retrieve transcripts, run translations and summaries, create subtitle exports, burn subtitles into videos, and manage folders, team members, and shared links through scripts or CI pipelines.
Sonix’s current language, pricing, export, and security details are documented on its official product pages.
Sonix combines read-only MCP access to an existing media library with broader file-transcription capabilities in its web platform, API, and CLI. That makes it particularly relevant for teams that already have recorded interviews, depositions, podcasts, lectures, or video libraries and need both conversational access and repeatable automation.
AssemblyAI provides an official MCP server that lets Claude Code and other MCP-compatible agents interact directly with the AssemblyAI API. It’s confirmed that MCP workflows include transcribing audio, searching transcripts, and running LLM Gateway queries from a coding environment.
The wider AssemblyAI platform supports batch and real-time transcription, speaker diarization, summarization, sentiment analysis, entity detection, PII redaction, translation, and other speech-understanding capabilities. These are API capabilities rather than necessarily separate MCP-native tools, but they give developers a broad set of structured outputs to use in applications.
AssemblyAI currently advertises transcription in 99 languages. Its real-time service supports different language sets depending on the selected model and states that it has no hard cap on concurrent real-time streams.
Fellow built its MCP server around workspace permissions and administrative control. It uses OAuth and only exposes meeting information that the authenticated user already has permission to view.
Workspace administrators can decide whether users may create MCP connections, view active connections, and delete connections when necessary. The fellow also states that connections are logged in workspace security settings.
Fellow’s zero-day retention option can delete raw recordings and transcripts after AI processing while allowing summaries, action items, and decisions to remain under separate retention schedules. The platform also publishes SOC 2 Type II controls and offers BAAs for organizations with HIPAA requirements.
Fellow’s integration directory currently lists more than 50 supported integrations.
Otter.ai has both an MCP server and AI Chat connectors that allow Otter to act as an MCP client. External MCP-compatible assistants can access authorized meeting history, while Otter AI Chat can pull context from Gmail, Google Drive, Notion, Jira, and Salesforce.
Otter also supports botless recording through its desktop application. Its Basic plan includes 300 monthly transcription minutes, a 30-minute limit per conversation, and three lifetime audio or video imports per user.
Otter currently supports transcription in six languages: English, Spanish, French, German, Japanese, and Simplified Chinese. Otter Chat can translate or answer in additional languages, but that is separate from supported transcription-language coverage.
Spinach connects meeting data to ChatGPT and developer environments such as Cursor and VS Code. Its MCP implementation uses per-user OAuth authorization, so each user can access only the meetings they are already authorized to view in Spinach.
The MCP server is available on paid plans and provides programmatic access to transcripts, summaries, and meeting metadata. Spinach says meeting history is retained for up to 365 days by default, subject to its retention policy.
The wider platform works with Zoom, Google Meet, Microsoft Teams, and Slack, advertises transcription in 100 languages, and publishes SOC 2 Type II, GDPR, and HIPAA compliance information.
HappyScribe offers broad language coverage, advertising transcription, and subtitles in more than 150 languages and translation in more than 65 languages, including dialects and accents.
Its MCP server can do more than retrieve existing transcripts. HappyScribe documents tools for searching and retrieving recordings, summarizing and analyzing transcripts, uploading audio or video, creating new transcription jobs, and experimentally editing transcript content.
That combination makes it relevant for international content, localization, subtitle, and research workflows where users want an assistant to work with both existing material and new uploads.
Fireflies currently advertises unlimited transcription and unlimited AI summaries on every plan, including Free. The Free plan also has important limits, including 400 minutes of meeting storage per team, a two-hour recording limit per meeting, limited integrations, and no video recording.
Its MCP server supports searching, retrieving, and managing transcripts, summaries, soundbites, channels, and user data. Some tools are read-only, while others can share meetings, create soundbites, or perform other actions.
The hosted MCP endpoint uses OAuth. Fireflies also documents an API-key configuration for Claude Desktop through a local JSON configuration.
Fireflies has official integrations with Greenhouse and Lever that can send interview summaries and notes to candidate profiles, making it relevant for recruiting workflows.
MeetGeek provides two MCP connection options: a local package that runs on the user’s machine and authenticates with an API key, and a cloud-hosted service that uses OAuth. Both provide access to MeetGeek meeting data and actions.
The MCP toolset includes meeting lists, meeting details, transcripts, highlights, summaries, insights, team meetings, and an upload-recording action. That means MeetGeek can work with existing meeting data and accept new recordings through MCP.
MeetGeek also offers AI Voice Agents in beta. These agents can join selected meetings, listen, speak, ask questions, and follow instructions for workflows such as screening interviews and discovery calls.
Native integrations include HubSpot, Salesforce, and Pipedrive. MeetGeek states that users can connect to more than 7,000 additional apps through Zapier and other automation services.
Open-source Whisper MCP implementations give technical teams control over the server code and deployment configuration, but the privacy model depends on the transcription backend.
The arcaputo3/mcp-server-whisper repository is MIT licensed and runs the MCP server locally, but it uses OpenAI Whisper and GPT-4o APIs for audio processing. Audio therefore leaves the local environment for API processing. The repository also states that active development has moved to another project and that the original repository is no longer maintained.
Other implementations support faster-whisper for local, offline transcription as well as optional OpenAI API processing. A fully local implementation can provide greater control over where audio is processed, but it also requires local compute, model management, updates, monitoring, and security maintenance.
ElevenLabs primarily focuses on text-to-speech, voice generation, and voice cloning, but its official MCP server also supports audio transcription. This makes it useful for workflows that need both speech input and generated voice output.
Language coverage varies by model. ElevenLabs Scribe currently advertises speech-to-text in more than 90 languages. For synthesis, Eleven v3 advertises more than 70 languages, while other models support smaller language sets optimized for different quality and latency requirements.
When evaluating MCP transcription servers, the critical question is not simply whether an assistant can access transcripts. It is whether the platform handles the media your organization works with and whether its MCP tools complement the rest of the workflow.
Some MCP servers primarily expose completed meeting data. Others, including AssemblyAI, HappyScribe, and MeetGeek, can start transcription or upload workflows. Sonix takes a different approach: its MCP server is deliberately read-only, while its CLI and REST API handle creation, translation, caption generation, summaries, and other automation.
For organizations managing interview archives, legal recordings, podcasts, lectures, or multilingual media, this separation can be useful. An AI assistant can safely browse, analyze, and export existing transcripts through MCP, while deterministic scripts and CI pipelines manage uploads and processing through the CLI or API.
Sonix is SOC 2 Type II certified and states that it encrypts data with TLS in transit and AES-256 at rest. Organizations processing PHI should note that HIPAA-compliant processing and a BAA are available through Sonix Medical Enterprise rather than ordinary self-serve plans.
The platform currently supports transcription in 54+ languages, translation into 55+ languages, browser-based editing, speaker labels, timestamps, AI analysis, and a range of transcript and subtitle exports.
File-focused platforms are designed around uploaded audio and video such as interviews, podcasts, depositions, lectures, and archived recordings. Meeting-focused platforms concentrate on capturing scheduled calls and exposing meeting summaries, transcripts, and action items.
The distinction is not absolute. HappyScribe and MeetGeek can upload new recordings through MCP, AssemblyAI’s MCP can transcribe audio, and Sonix combines read-only MCP access with separate CLI and API tools for creating new transcriptions.
Yes. Sonix states that its MCP server works with any compatible MCP client and specifically documents Claude Code, Claude Desktop, Cursor, Codex, Windsurf, and VS Code. Current MCP access is read-only. Assistants can browse recordings, retrieve transcripts, generate text, SRT/VTT, or JSON exports, and check account status. New transcriptions, translations, edits, captions, summaries, and other automated workflows should be handled through the Sonix CLI or REST API.
Sonix publishes SOC 2 Type II certification, AES-256 encryption at rest, TLS encryption in transit, GDPR controls, and HIPAA-compliant Medical Enterprise plans with a BAA. Fellow publishes SOC 2 Type II information, offers BAAs, and provides administrative MCP controls and zero-day retention options. Spinach also publishes SOC 2 Type II, GDPR, and HIPAA compliance information.
Hosted services such as Sonix, Fellow, Otter, and MeetGeek Cloud use browser-based OAuth authorization. Setup generally involves adding the MCP endpoint to a compatible client and approving access. Local or self-managed implementations may require JSON configuration, API keys, package installation, model setup, infrastructure maintenance, and security monitoring.
Sonix offers Pay As You Go at $10 per transcription or translation hour, Core at $25 per month with five transcription and translation hours plus five AI Workspace hours, Advanced at $50 per month with 20 transcription and translation hours plus 25 AI Workspace hours, and Pro at $80 per month with 40 transcription and translation hours plus 100 AI Workspace hours. Extra seats cost $25 per month, additional subscription usage is billed at $10 per hour, Enterprise plans use custom pricing, and MCP access is included with paid plans for account owners and producers at no separate charge.
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