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.
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.
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.
Add a custom connector. Open Customize, then Connectors. Select Add, then Custom, then Web.
Paste your Metorial MCP URL. Name it Metorial, paste your Magic MCP URL (<your-magic-mcp-url>) and continue.
Sign in. Select Add and sign in to load Azure Speech tools.
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.
Add a custom MCP server. On ChatGPT web, open Plugins, select +, then Add custom MCP server.
Paste your Metorial MCP URL. Name it Metorial, paste your Magic MCP URL (<your-magic-mcp-url>), choose OAuth and accept the risk notice.
Create and install the plugin. Select Create as a plugin, install it and sign in to load Azure Speech tools.
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.
Add Metorial to your MCP config. Use ~/.cursor/mcp.json for every project, or .cursor/mcp.json for one.
Sign in. Open Customize in the sidebar, find Metorial and sign in to load Azure Speech tools.
{
"mcpServers":{
"metorial":{
"url":"<your-magic-mcp-url>"
}
}
}
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.
Add the server over HTTP. Add --scope user to use it in every project.
Sign in. Run /mcp, select Metorial and sign in to load Azure Speech tools.
claude mcp add --transport http metorial <your-magic-mcp-url>
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.
Add the server and sign in. The Codex CLI, IDE extension and ChatGPT desktop app share this config.
Check the connection. Type /mcp in Codex to see Metorial and its Azure Speech tools.
codex mcp add metorial --url <your-magic-mcp-url>
codex mcp login metorial
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.
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.
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.
Does the Azure Speech MCP server support triggers?
Azure Speech exposes tools your agents call on demand; it does not publish event triggers yet. Everything still runs through one governed MCP URL.
Which AI clients can use the Azure Speech MCP server?
Any MCP client, including VS Code, Windsurf, Zed, OpenCode and Grok. Each one reaches the Azure Speech MCP server through the same Metorial URL.
How do I give only some teams access to Azure Speech?
Use role-based access control to decide which teams, users, and agents can use Azure Speech and which of its tools they can call.
Can I self-host the Azure Speech MCP server?
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.