Connect Google Cloud Speech to AI agents

Connect Google Cloud Speech to Claude, Codex, Cursor, or other AI agents for your entire team. Metorial security, governance, observability, and gives your team a unified Magic MCP url to connect.

Supported Tools

batch_transcribe_audio

Batch Transcribe Audio

Start an asynchronous batch transcription of one or more audio files stored in Google Cloud Storage. Returns a long-running operation that can be monitored using the Get Operation tool. Suitable for audio files longer than 1 minute (up to 8 hours). Results can be written to a GCS output location or returned inline when the operation completes.

transcribe_audio

Transcribe Audio

Transcribe audio to text using Google Cloud Speech-to-Text (synchronous recognition). Supports inline base64-encoded audio or audio files in Google Cloud Storage. Use for audio files up to 1 minute in duration. Configure language, model, punctuation, word-level details, speaker diarization, and speech adaptation hints.

get_operation

Get Operation

Check the status and retrieve results of a long-running Speech-to-Text operation. Use this to monitor batch transcription jobs started with the Batch Transcribe Audio tool. Returns the current status, and when complete, the full transcription results or error details.

synthesize_speech

Synthesize Speech

Convert text or SSML into natural-sounding speech audio using Google Cloud Text-to-Speech. Returns base64-encoded audio data in the requested format. Supports multiple voice types including Standard, WaveNet, Neural2, Studio, and Chirp 3 HD voices. Customize pitch, speaking rate, and volume.

delete_recognizer

Delete Recognizer

Delete a recognizer configuration. The recognizer enters a deleted state and is eventually purged.

get_recognizer

Get Recognizer

Get details of a specific recognizer configuration, including its model, languages, default recognition config, and status.

list_recognizers

List Recognizers

List all recognizer configurations in the configured project and region. Returns recognizer names, models, languages, and status.

create_recognizer

Create Recognizer

Create a named recognizer configuration for Speech-to-Text v2. A recognizer stores default settings like model, language, and recognition features so they don't need to be repeated in every transcription request.

update_recognizer

Update Recognizer

Update an existing recognizer configuration. Modify the display name, model, or language codes of a previously created recognizer.

list_voices

List Voices

List available Text-to-Speech voices. Optionally filter by language code to find voices for a specific language. Returns voice names, genders, supported languages, and native sample rates.

More integrations teams use with Google Cloud Speech

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.

Sharepoint

Manage SharePoint sites, document libraries, lists, and files. Create, read, update, and delete lists and list items with custom columns. 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. Subscribe to webhooks for list and library change notifications. Retrieve site properties and search for sites across Microsoft 365.

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. Subscribe to real-time change events via Change Data Capture and Platform Events. Manage org metadata including custom objects, fields, layouts, and workflows. Query data using GraphQL for precise data retrieval across related objects.

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.

Bitbucket

Manage Git repositories, pull requests, and CI/CD pipelines on Bitbucket Cloud. Create, fork, and configure repositories within workspaces and projects. Create, review, approve, merge, and decline pull requests with inline code comments. Browse source code, list commits, and manage branches and tags. Track issues with the built-in issue tracker. Trigger, monitor, and manage Bitbucket Pipelines. List workspace members, configure repository default reviewers and branch restrictions, create and manage repository webhooks, and search code across repositories.

Heroku

Deploy, manage, and scale applications on Heroku's cloud platform. Create and configure apps, scale dynos, provision add-ons (databases, caching, etc.), manage configuration variables, build and release code, add custom domains and SSL certificates, manage collaborators and team permissions, configure pipelines for continuous delivery, set up log drains, and sync data with Salesforce via Heroku Connect. Subscribe to webhooks for real-time notifications on app changes, builds, releases, dyno lifecycle events, and more.

Technical notes for Google Cloud Speech

Convert audio to text transcriptions and synthesize natural-sounding speech from text using Google's neural network models. Perform synchronous, asynchronous, and streaming speech-to-text recognition across 125+ languages. Create and manage recognizer configurations for reusable transcription settings. Adapt speech models with custom phrase sets, custom classes, and boost values to improve accuracy for domain-specific vocabulary. Identify distinct speakers via speaker diarization and recognize multi-channel audio. Generate subtitle/caption output in SRT format. Synthesize text or SSML into audio using Standard, WaveNet, Neural2, Studio, and Chirp voice types with configurable pitch, speaking rate, volume, and encoding. Produce long-form audio content asynchronously.

Connect Google Cloud Speech to production AI agents

See how Metorial gives Google Cloud Speech access the governance, tracing, and security controls teams need.

Frequently asked questions

Common questions about connecting Google Cloud Speech to AI agents with Metorial.

  1. Can Metorial connect Google Cloud Speech to AI agents?
    Yes. Metorial connects AI agents to Google Cloud Speech through a governed integration layer, so teams can use the provider while keeping access controlled and observable.
  2. Metorial is MCP compatible and lets teams expose approved provider tools to MCP-capable agents and clients through a controlled access layer.
  3. Metorial applies policies across users, groups, providers, agents, and individual tools, then records the context around every agent interaction.
  4. Yes. Metorial records provider activity so teams can inspect tool calls, troubleshoot integrations, and give security teams the visibility they need.