Speechmatics MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Create Job, Create Temp Key, Delete Job, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Speechmatics through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The Speechmatics MCP Server for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Speechmatics, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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
About Speechmatics MCP Server
Connect Speechmatics to your AI agent to handle advanced audio processing workflows. This server enables high-accuracy transcription and natural-sounding speech synthesis through a simple interface.
The Vercel AI SDK gives every Speechmatics tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Batch Transcription — Submit audio via URL or base64 and process large files with industry-leading accuracy using
create_job. - Text-to-Speech (TTS) — Convert text into natural human speech using high-quality voices like Sarah, Theo, Megan, or Jack via
generate_tts. - Transcript Retrieval — Export completed transcriptions in multiple formats including JSON, plain text, or SRT subtitles using
get_transcript. - Job Management — Monitor the status of your processing tasks, list recent activity, and manage resources with
list_jobsandget_job. - Usage & Security — Track your account consumption with
get_usageand generate temporary keys for secure client-side access usingcreate_temp_key.
The Speechmatics MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 8 Speechmatics tools available for Vercel AI SDK
When Vercel AI SDK connects to Speechmatics through Vinkius, your AI agent gets direct access to every tool listed below — spanning speech-to-text, transcription, text-to-speech, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create job on Speechmatics
Create a new batch transcription job
Create temp key on Speechmatics
Create a temporary API key
Delete job on Speechmatics
Delete a transcription job
Generate tts on Speechmatics
Generate speech from text (TTS)
Get job on Speechmatics
Get details for a specific job
Get transcript on Speechmatics
Retrieve the transcript for a job
Get usage on Speechmatics
Get usage statistics
List jobs on Speechmatics
List recent transcription jobs
Connect Speechmatics to Vercel AI SDK via MCP
Follow these steps to wire Speechmatics into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Speechmatics MCP Server
Vercel AI SDK provides unique advantages when paired with Speechmatics through the Model Context Protocol.
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 Speechmatics integration everywhere
Built-in streaming UI primitives let you display Speechmatics 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
Speechmatics + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Speechmatics MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Speechmatics in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Speechmatics tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Speechmatics capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Speechmatics through natural language queries
Example Prompts for Speechmatics in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Speechmatics immediately.
"Transcribe the audio file at this URL: https://example.com/audio.mp3"
"Generate an audio file of Sarah saying 'Welcome to the future of speech technology'."
"List my 5 most recent transcription jobs."
Troubleshooting Speechmatics MCP Server with Vercel AI SDK
Common issues when connecting Speechmatics to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSpeechmatics + Vercel AI SDK FAQ
Common questions about integrating Speechmatics MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Explore More MCP Servers
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