Google Cloud Speech MCP server

Connect Google Cloud 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 Google Cloud Speech MCP server

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

  • Use the batch transcribe audio tool in Google Cloud Speech
  • Use the transcribe audio tool in Google Cloud Speech
  • Use the get operation tool in Google Cloud Speech
  • Use the synthesize speech tool in Google Cloud Speech
  • Use the delete recognizer tool in Google Cloud Speech
  • Use the get recognizer tool in Google Cloud Speech

How teams use Google Cloud Speech with agents

Cloud Speech turns audio into text and text into speech. Agents use it to transcribe calls and voice notes, and to read summaries back as natural-sounding audio.

Transcribe calls

Transcribe a recorded customer call so the agent can summarise it.

Batch transcription

Transcribe long recordings from Cloud Storage as a background operation.

Voice output

Synthesise a spoken version of a summary in a chosen voice.

Custom recognizers

Create a recognizer with the language and model settings your audio needs.

Tools to start with

  • Batch Transcribe Audio: Long audio from Cloud Storage.
  • Synthesize Speech: Text to audio in many voices.
  • Create Recognizer: Reusable recognition settings.

Sign-in and permissions

Cloud Speech accepts Google OAuth or an API key. The Speech-to-Text and Text-to-Speech APIs must be enabled with billing on the project, and both are charged by audio length or characters.

Sign-in options on Metorial: Google OAuth 2.0, API Key.

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.

Connect Google Cloud 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 Google Cloud Speech in Metorial. In your Metorial portal, enable the Google Cloud 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 Google Cloud Speech tools.

Run Google Cloud Speech through the Metorial gateway

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

  • Give Google Cloud Speech and every other app to your whole team through one MCP gateway, behind your SSO.
  • Scope which teams and agents can use Google Cloud 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 Google Cloud 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 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.

Frequently asked questions

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

  1. How many tools does the Google Cloud Speech MCP server have?
    The Google Cloud Speech MCP server exposes 10 tools, including Batch Transcribe Audio, Transcribe Audio, Get Operation. Each one is governed and traced through Metorial.
  2. Google Cloud 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 Google Cloud Speech MCP server through the same Metorial URL.
  4. Use role-based access control to decide which teams, users, and agents can use Google Cloud Speech and which of its tools they can call.
  5. Yes. Metorial is open source, so you can run the Google Cloud Speech MCP server yourself or use the hosted gateway.

Connect Google Cloud Speech to production AI agents

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