Your AI assistant is smart. Your meeting recordings are full of insights. But getting them to work together has traditionally required repetitive copying and pasting. The Model Context Protocol is beginning to change that.
De MCP standard gives compatible AI applications such as Claude, ChatGPT, and Cursor a standardized way to connect to external data sources and tools. Depending on the transcription server, an assistant may be able to search recordings, retrieve transcripts, analyze meeting data, or create exports directly.
Here are eight transcription MCP servers for turning meeting recordings and uploaded media into actionable intelligence.
Sonix provides professional file-based transcription that works with compatible AI assistants through a secure MCP connection, alongside a CLI for automated workflows. Unlike tools centered primarily on live meeting capture, Sonix is designed to process uploaded recordings such as interviews, depositions, podcasts, research sessions, and pre-recorded meetings.
De Sonix MCP server lets compatible AI assistants securely work with an existing Sonix media library through OAuth 2.1. Point a supported client at https://api.sonix.ai/mcp, sign in, and the assistant can browse recordings, retrieve transcripts for summarization or Q&A, generate text or caption exports, and check account status.
MCP access is currently read-only. It is designed to provide controlled access to existing media rather than create, edit, or delete files.
Sonix supports two complementary approaches. The MCP server gives compatible AI assistants—including Claude, ChatGPT, Cursor, Codex, Windsurf, and VS Code—read-only access to existing media and transcripts through OAuth.
For developers and operations teams, the official Sonix CLI provides terminal and script access to the Sonix REST API. It can upload media, retrieve transcripts, run translations and summaries, create caption and media exports, and manage account resources.
Sonix offers several plans for different workloads. Pay As You Go costs $10 per hour for transcription and translation. The Core plan costs $25 per month and includes five hours of transcription and translation, five hours of AI workspace usage, and 25 GB of storage. Advanced costs $50 per month and includes 20 transcription and translation hours, 25 AI workspace hours, and 50 GB of storage. Pro costs $80 per month and includes 40 transcription and translation hours, 100 AI workspace hours, 100 GB of storage, and priority email and chat support. Each subscription includes one user, with additional seats available for $25 per month. View current pricing for complete plan details.
Sonix is suited to transcription companies, legal teams processing depositions, researchers analyzing interviews, content producers, and enterprise teams that need controlled file-based transcription. Its MCP and CLI interfaces support both AI-assisted analysis and automated production workflows.
Fellow offers an Anthropic-verified Claude connector and a broader MCP server for compatible AI assistants. The platform handles recurring meetings, one-on-ones, team syncs, transcripts, summaries, decisions, and action items.
The official Claude connector uses OAuth and does not require individual users to manage API keys, connector URLs, or developer-mode configuration. Workspace administrators can enable or disable MCP access, view active connections, and delete individual connections.
Otter takes a bidirectional approach to MCP, operating as both a client and a server. Its AI Chat connectors can bring context from services such as Gmail, Google Drive, Notion, Jira, and Salesforce into Otter. In the other direction, external AI tools such as ChatGPT and Claude can access authorized Otter meeting history through the Otter MCP server.
This architecture can help teams consider meeting discussions alongside related documents, email, project-management data, and CRM context.
Fireflies’ current free plan includes unlimited transcription and unlimited AI summaries, subject to storage and advanced AI-credit limits. Free accounts include 400 minutes of storage per seat, and older meetings must be removed when that limit is reached.
The platform’s ATS integrations make it relevant to recruiting workflows in which interview transcripts and notes need to move into candidate-management systems. Fireflies supports a remote MCP connection through OAuth and documents an optional API-key configuration for Claude Desktop.
Spinach focuses on making meeting context available to development and engineering workflows. It structures information such as decisions, action items, assignees, and ticket references rather than exposing only an undifferentiated transcript.
Once connected through OAuth, compatible applications can use the last 100 meetings as context. This can help coding assistants retrieve earlier technical decisions, sprint discussions, open questions, and assigned work across multiple meetings.
Tactiq uses a browser extension to capture and transcribe conversations in Google Meet, Zoom, and Microsoft Teams without adding a visible meeting bot. Its direct MCP connector is currently in beta on the Business plan.
Teams can connect Tactiq directly as a custom MCP connector or use alternative workflows that save transcripts in Google Drive or Notion and expose them through those platforms’ connectors.
HappyScribe advertises transcription and subtitle support in more than 150 languages and translation in 65+ languages, giving it the largest advertised language count among the platforms in this list.
The platform also offers optional human-made transcription and subtitle services. Through MCP, compatible assistants can search and read transcriptions, ask questions across up to 50 files, use a knowledge graph to find referenced people and organizations, and start new transcriptions from a URL.
Read AI offers both an MCP server for compatible AI applications and a REST API for programmatic access to meeting information. Both interfaces are currently in open beta and can provide access to meeting reports, transcripts, summaries, action items, and related data.
Read also documents using its REST endpoints with automation platforms such as n8n, Zapier, and Make. This can support workflows in which some meeting data is retrieved interactively through an AI assistant while other information is processed through scheduled automations.
Organizations that work primarily with uploaded audio and video can use Sonix to combine file-based transcription with controlled access from compatible AI assistants. The platform supports interviews, depositions, research recordings, podcasts, webinars, and other pre-recorded media that may not originate in a scheduled meeting platform.
The MCP and CLI interfaces address different workflow needs. AI assistants can use the read-only MCP server to browse existing media, retrieve transcripts, analyze content, and create exports. Developers and operations teams can use the CLI or REST API to upload files, start transcription and translation jobs, generate summaries and captions, and automate production tasks.
Sonix also documents SOC 2 Type II certification, AES-256 encryption at rest, TLS in transit, role-based MCP authorization, and HIPAA support through Medical Sonix. Organizations should still evaluate these controls against their own legal, contractual, security, and data-location requirements.
With transcription in 54+ languages, translation into 55+ languages, accuracy of up to 99% on clear recordings, a custom dictionary, browser-based editing, and multiple export formats, Sonix can support a range of file-based transcription and content-processing workflows. For teams processing uploaded recordings with enterprise security requirements, its MCP, CLI, and REST interfaces provide several ways to incorporate transcripts into existing systems.
The Model Context Protocol is a standard that lets compatible AI applications connect to external data sources and tools. Depending on the transcription provider’s implementation, an MCP-enabled assistant may be able to search meeting records, retrieve transcripts and summaries, analyze information across several conversations, or generate exports without requiring the user to copy the transcript into every prompt manually.
Ja. Sonix biedt een MCP-server that lets compatible AI assistants access an authorized Sonix media library through OAuth 2.1. Current MCP tools are read-only and can browse recordings, retrieve transcripts, create text or caption exports, and check account status. New transcriptions, translations, edits, summaries, and automated production workflows should be created through the Sonix web application, CLI, or REST API.
Meeting-focused platforms are primarily designed to capture scheduled calls through meeting bots, desktop applications, or browser extensions and then organize transcripts, summaries, and action items. File-based platforms such as Sonix begin with uploaded audio or video, making them suitable for interviews, podcasts, depositions, research recordings, webinars, and other content that may not come from a supported meeting platform.
Accuracy varies according to audio quality, microphone placement, background noise, overlapping speech, accents, terminology, and language. Sonix reports typical accuracy of 85% to 99% on clear recordings and provides a custom dictionary for specialized terms, but important transcripts should still be reviewed before publication, legal use, clinical use, or external distribution.
Evaluate the controls that are relevant to your organization rather than treating one certification as a universal minimum. Useful considerations include SOC 2 reports, encryption in transit and at rest, multifactor authentication, role-based permissions, retention and deletion settings, data-storage location, incident-response practices, and contractual protections. Organizations handling protected health information should determine whether the vendor will enter into a Business Associate Agreement and provide a service appropriate for the organization’s HIPAA obligations.
The Model Context Protocol is changing how AI assistants connect to external tools, and podcast…
Court reporters managing dozens of depositions monthly face a new question: how can AI assistants…
You've got 80 hours of interview footage, a looming deadline, and an AI assistant you…
Remember when analyzing a podcast meant copying transcript chunks into ChatGPT and repeating the process…
Finding the right transcription solution for HR and recruiting used to mean juggling separate tools…
You've got hours of recordings sitting in folders, but your AI assistant can't touch them.…
Deze website maakt gebruik van cookies.