Gladia (Speech AI) MCP Server for CursorGive Cursor instant access to 6 tools to Delete Transcription, Get Transcription, Init Live Session, and more
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
Ask AI about this MCP Server for Cursor
The Gladia (Speech AI) MCP Server for Cursor is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
{
"mcpServers": {
"gladia-speech-ai": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}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.





* 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.
Cursor's Agent mode turns Gladia (Speech AI) into an in-editor superpower. Ask Cursor to generate code using live data from Gladia (Speech AI) and it fetches, processes, and writes. all in a single agentic loop. 6 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor
When Cursor 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 transcription on Gladia (Speech AI)
Delete a transcription job
Get transcription on Gladia (Speech AI)
Get status and results of a transcription job
Init live session on Gladia (Speech AI)
Initiate a live transcription session
Init transcription on Gladia (Speech AI)
Start a pre-recorded transcription job
List transcriptions on Gladia (Speech AI)
List pre-recorded transcriptions
Upload audio file on Gladia (Speech AI)
Upload an audio file to Gladia
Connect Gladia (Speech AI) to Cursor via MCP
Follow these steps to wire Gladia (Speech AI) into Cursor. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Open MCP Settings
Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"Add the server config
mcp.json file that opensSave the file
Start using Gladia (Speech AI)
Why Use Cursor with the Gladia (Speech AI) MCP Server
Cursor AI Code Editor provides unique advantages when paired with Gladia (Speech AI) through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Gladia (Speech AI) + Cursor Use Cases
Practical scenarios where Cursor combined with the Gladia (Speech AI) MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Example Prompts for Gladia (Speech AI) in Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting Gladia (Speech AI) to Cursor through Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Gladia (Speech AI) + Cursor FAQ
Common questions about integrating Gladia (Speech AI) MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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