Gladia (Speech AI) MCP Server for VS Code CopilotGive VS Code Copilot instant access to 6 tools to Delete Transcription, Get Transcription, Init Live Session, and more

Name: Gladia (Speech AI)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Ask AI about this MCP Server for VS Code Copilot

Open in ChatGPT Open in Claude Open in Perplexity

The Gladia (Speech AI) MCP Server for VS Code Copilot is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

Classic Setup·json

{
  "mcpServers": {
    "gladia-speech-ai": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Gladia (Speech AI) and 4,000+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

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

About 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.

GitHub Copilot Agent mode brings Gladia (Speech AI) data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 6 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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.

The Gladia (Speech AI) MCP Server exposes 6 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Gladia (Speech AI) tools available for VS Code Copilot

When VS Code Copilot connects to Gladia (Speech AI) through Vinkius, your AI agent gets direct access to every tool listed below — spanning speech-to-text, transcription, audio-analysis, 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.

delete

Delete transcription on Gladia (Speech AI)

Delete a transcription job

get

Get transcription on Gladia (Speech AI)

Get status and results of a transcription job

init

Init live session on Gladia (Speech AI)

Initiate a live transcription session

init

Init transcription on Gladia (Speech AI)

Start a pre-recorded transcription job

list

List transcriptions on Gladia (Speech AI)

List pre-recorded transcriptions

upload

Upload audio file on Gladia (Speech AI)

Upload an audio file to Gladia

Connect Gladia (Speech AI) to VS Code Copilot via MCP

Follow these steps to wire Gladia (Speech AI) into VS Code Copilot. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Gladia (Speech AI)

Ask Copilot: "Using Gladia (Speech AI), help me...". 6 tools available

Why Use VS Code Copilot with the Gladia (Speech AI) MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Gladia (Speech AI) through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Gladia (Speech AI) + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Gladia (Speech AI) MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Example Prompts for Gladia (Speech AI) in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Gladia (Speech AI) immediately.

"List my 5 most recent transcription jobs."

"Start a transcription for this audio URL with summarization enabled: https://example.com/audio.mp3"

"I need a WebSocket URL to start a live transcription session in 16000Hz."

Troubleshooting Gladia (Speech AI) MCP Server with VS Code Copilot

Common issues when connecting Gladia (Speech AI) to VS Code Copilot through Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Gladia (Speech AI) + VS Code Copilot FAQ

Common questions about integrating Gladia (Speech AI) MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.