4,000+ servers built on vurb.ts
Vinkius
Vercel AI SDKSDK
Gladia (Speech AI) MCP Server

Bring Speech To Text
to Vercel AI SDK

Learn how to connect Gladia (Speech AI) to Vercel AI SDK and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Delete TranscriptionGet TranscriptionInit Live SessionInit TranscriptionList TranscriptionsUpload Audio File

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Gladia (Speech AI)

What is the Gladia (Speech AI) MCP Server?

Connect Gladia to your AI agent to unlock enterprise-grade speech-to-text capabilities. Process audio files or live streams with advanced features like speaker diarization, multi-language translation, and automated summarization.

What you can do

  • Audio Processing — Upload local files to generate secure URLs for immediate transcription processing.
  • Advanced Transcription — Initiate jobs with speaker diarization (who said what), summarization, and translation across 100+ languages.
  • Audio-to-LLM — Apply custom LLM prompts directly to your audio data to extract specific insights or structured data.
  • Live Streaming — Initialize secure WebSocket sessions for real-time transcription of meetings or broadcasts.
  • Job Management — List, retrieve, and manage your transcription history and results directly through conversation.

How it works

  1. Subscribe to this server
  2. Enter your Gladia API Key
  3. Start transcribing audio files or live streams from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Developers — Integrate speech-to-text workflows into apps without managing complex API calls manually.
  • Content Creators — Quickly generate transcripts, summaries, and translations for podcasts or videos.
  • Business Teams — Analyze meeting recordings to extract action items and speaker insights using natural language.

Built-in capabilities (6)

delete_transcription

Delete a transcription job

get_transcription

Get status and results of a transcription job

init_live_session

Initiate a live transcription session

init_transcription

Start a pre-recorded transcription job

list_transcriptions

List pre-recorded transcriptions

upload_audio_file

Upload an audio file to Gladia

Why Vercel AI SDK?

The Vercel AI SDK gives every Gladia (Speech AI) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

  • TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

  • Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Gladia (Speech AI) integration everywhere

  • Built-in streaming UI primitives let you display Gladia (Speech AI) tool results progressively in React, Svelte, or Vue components

  • Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

See it in action

Gladia (Speech AI) in Vercel AI SDK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Gladia (Speech AI) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Gladia (Speech AI) to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Gladia (Speech AI) in Vercel AI SDK

The Gladia (Speech AI) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 6 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Gladia (Speech AI)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures Gladia (Speech AI) for Vercel AI SDK

Every tool call from Vercel AI SDK to the Gladia (Speech AI) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How do I check the status of a transcription job I just started?

Use the get_transcription tool with the Job ID. It will return the current status (queued, processing, done, or error) and the results if completed.

02

Can I automatically identify different speakers in a recording?

Yes! When using init_transcription, set the diarization parameter to true. The AI will then distinguish between different voices in the transcript.

03

How do I handle a local audio file that isn't online yet?

First, use the upload_audio_file tool by providing the base64 data and filename. This will give you an audio_url that you can then pass to init_transcription.

04

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.

05

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

06

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

07

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Explore More MCP Servers

View all →