Azure Speech MCP server

Connect Azure Speech to Claude, ChatGPT, Cursor, Claude Code, Codex, Gemini, GitHub Copilot and any other MCP client, for your whole team. Metorial adds security, governance, and tracing, and gives everyone one Magic MCP URL to connect.

What you can do with the Azure Speech MCP server

Ask your agent in plain language. Each of these maps to a real tool on the server.

  • Use the verify speaker tool in Azure Speech
  • Use the synthesize speech tool in Azure Speech
  • Use the list voices tool in Azure Speech
  • Use the manage speaker profile tool in Azure Speech
  • Use the identify speaker tool in Azure Speech
  • Use the recognize speech tool in Azure Speech

Supported Tools

verify_speaker

Verify Speaker

Verifies whether a speaker matches a previously enrolled voice profile. Compares the provided audio against the enrolled profile and returns a confidence score and accept/reject decision. Uses text-independent verification — the speaker can say anything.

synthesize_speech

Synthesize Speech

Converts text into natural-sounding synthesized speech audio using Azure neural voices. Provide either plain text (which will be wrapped in SSML automatically) or custom SSML for fine-grained control over pronunciation, prosody, speaking styles, pauses, and other speech characteristics. Returns the synthesized audio as a Slate attachment.

list_voices

List Voices

Retrieves the full list of available text-to-speech voices for the configured Azure Speech region. Use this to discover available voices, their supported languages, speaking styles, and capabilities before synthesizing speech. Results can be filtered by locale or gender.

manage_speaker_profile

Manage Speaker Profile

Creates, retrieves, lists, or deletes speaker recognition profiles. Speaker profiles are used for voice verification (confirming identity) and identification (determining who is speaking). Supports text-independent speaker recognition profiles.

identify_speaker

Identify Speaker

Identifies which speaker from a group of enrolled profiles is speaking in the provided audio. Compares the audio against up to 50 candidate speaker profiles and returns the best match with a confidence score. Uses text-independent identification — the speaker can say anything.

recognize_speech

Recognize Speech

Performs real-time speech-to-text recognition on short audio (up to 60 seconds). Converts spoken audio into text using Azure's speech recognition engine. Optionally includes **pronunciation assessment** to evaluate the accuracy, fluency, completeness, and prosody of spoken audio against a reference text.

list_speech_models

List Speech Models

Lists available base speech-to-text models for all locales, including standard and Whisper models. Use this to discover model IDs for batch transcription.

list_batch_transcriptions

List Batch Transcriptions

Lists all batch transcription jobs in your Azure Speech resource. Returns summary information for each transcription including status, locale, and timestamps. Supports pagination for large result sets.

create_batch_transcription

Create Batch Transcription

Submits a batch transcription job to process one or more audio files asynchronously. Ideal for transcribing large volumes of prerecorded audio. Provide audio file URLs or an Azure Blob Storage container URL. The job runs asynchronously — use the **Get Batch Transcription** tool to check status and retrieve results.

delete_batch_transcription

Delete Batch Transcription

Deletes a batch transcription job and its associated result data. Use this to clean up completed transcriptions after retrieving their results, or to cancel transcriptions that are no longer needed.

get_batch_transcription

Get Batch Transcription

Retrieves the status and details of a batch transcription job. When the transcription is complete, also fetches the result files including transcription output and report. Use this to check progress of a previously submitted batch transcription and to retrieve the final results.

enroll_speaker_profile

Enroll Speaker Profile

Adds a voice enrollment sample to a text-independent speaker verification or identification profile. Use this after creating a profile and before verifying or identifying speakers.

fast_transcribe_audio

Fast Transcribe Audio

Synchronously transcribes one audio file with Azure Speech fast transcription. Use this for quick file transcription with predictable latency when the audio is too large for short-audio recognition or when phrase/channel/diarization detail is needed.

Connect Azure Speech to your AI client

Every client uses the same Magic MCP URL, and so does any other MCP client. Add it once and sign in with SSO.

  1. Enable Azure Speech in Metorial. In your Metorial portal, enable the Azure Speech MCP server and sign in with the account that owns the data. Access stays governed by your team policies.
  2. Add a custom connector. Open Customize, then Connectors. Select Add, then Custom, then Web.
  3. Paste your Metorial MCP URL. Name it Metorial, paste your Magic MCP URL (<your-magic-mcp-url>) and continue.
  4. Sign in. Select Add and sign in to load Azure Speech tools.

Run Azure Speech through the Metorial gateway

One governed layer for every app your agents reach, not a separate connector per tool.

  • Give Azure Speech and every other app to your whole team through one MCP gateway, behind your SSO.
  • Scope which teams and agents can use Azure Speech tools with role-based access control, and trace every call.
  • Prefer to run it yourself? Metorial is open source and self-hostable.

More integrations teams use with Azure Speech

Google Sheets

Create, read, and update spreadsheets and their cell data. Read and write values to individual cells, ranges, or multiple ranges using A1 notation or named ranges. Apply cell formatting including text styles, backgrounds, borders, number formats, and conditional formatting. Manage sheets (tabs) within a spreadsheet—add, delete, copy, rename, and reorder them. Create and manage embedded charts, pivot tables, filter views, data validation rules, protected ranges, named ranges, and merged cells. Perform batch operations to apply multiple updates atomically.

GitHub

Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.

Salesforce

Manage CRM data including Accounts, Contacts, Leads, Opportunities, Cases, and custom objects. Create, read, update, and delete records. Query data using SOQL and search across objects using SOSL. Perform bulk data operations for large-scale imports, exports, and migrations. Execute composite requests to batch multiple operations in a single API call. Access analytics, reports, and dashboards. Manage files and attachments associated with records. Interact with Chatter feeds, posts, and groups for social collaboration. Manage org metadata including custom objects, fields, layouts, and workflows. Query data using GraphQL for precise data retrieval across related objects.

Sharepoint

Manage SharePoint sites, document libraries, lists, and files. Create, read, update, and delete lists and list items with custom columns. Resolve site users to numeric Person/Group LookupId values. Upload, download, move, copy, and version files in document libraries. Search across sites, files, folders, lists, and list items using Microsoft Search. Manage permissions at site, list, and item levels with granular access control. Define and manage content types and site columns. Retrieve site properties and search for sites across Microsoft 365.

Airtable

Create, read, update, and delete records in Airtable bases and tables. Manage base schemas including creating tables and fields. Filter records using formulas, sort by fields, and scope queries to specific views. Upsert records to find, create, or update in a single call. Upload attachments to records, read and write record comments, list accessible bases, and receive real-time base change events through webhooks.

Google Drive

Upload, download, create, copy, move, rename, trash, and permanently delete files and folders in Google Drive. Search for files using complex queries filtering by name, MIME type, owner, modification date, labels, and other metadata. Share files and folders with specific users, groups, or domains with role-based permissions (owner, writer, commenter, reader). Manage shared drives and their members. Export Google Workspace files (Docs, Sheets, Slides) to standard formats like PDF, DOCX, and XLSX. Track file revision history and restore earlier versions. Create, read, update, and delete threaded comments and replies on files. Read label definitions and search files by label. Browse the Drive apps installed for your account. Store app-specific data in a hidden per-user folder.

Technical notes for Azure Speech

Transcribe short audio, fast single files, or batch audio URLs with Azure AI Speech. Convert text or SSML to neural speech audio attachments, list available voices and base speech models, assess pronunciation on short audio, and manage text-independent speaker profiles for enrollment, verification, and identification.

Frequently asked questions

Common questions about connecting Azure Speech to AI agents with Metorial.

  1. How many tools does the Azure Speech MCP server have?
    The Azure Speech MCP server exposes 13 tools, including Verify Speaker, Synthesize Speech, List Voices. Each one is governed and traced through Metorial.
  2. Azure Speech exposes tools your agents call on demand; it does not publish event triggers yet. Everything still runs through one governed MCP URL.
  3. Any MCP client, including VS Code, Windsurf, Zed, OpenCode and Grok. Each one reaches the Azure Speech MCP server through the same Metorial URL.
  4. Use role-based access control to decide which teams, users, and agents can use Azure Speech and which of its tools they can call.
  5. Yes. Metorial is open source, so you can run the Azure Speech MCP server yourself or use the hosted gateway.

Connect Azure Speech to production AI agents

See how Metorial gives your team governed access to Azure Speech, with tracing and security controls built in.