Speechnotes MCP Server for CursorGive Cursor instant access to 12 tools to Generate Webhook Signature, Get Remaining Credits, Get Transcription Export, 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 App Connector for Cursor
The Speechnotes app connector for Cursor is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Speechnotes and 3,400+ MCP Servers from a single visual interface.
{
"mcpServers": {
"speechnotes": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 Speechnotes MCP Server
Connect your Speechnotes account to any AI agent to automate your professional audio transcription and speech-to-text orchestration. Speechnotes provides a high-accuracy AI engine for converting audio files into text, and this integration allows you to initiate transcription jobs from URLs, monitor progress, and export results through natural conversation.
Cursor's Agent mode turns Speechnotes into an in-editor superpower. Ask Cursor to generate code using live data from Speechnotes and it fetches, processes, and writes. all in a single agentic loop. 12 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Transcription Orchestration — Initiate new transcription jobs from audio URLs and retrieve real-time status updates programmatically.
- Job & History Lifecycle Management — List all past transcription jobs and retrieve detailed metadata, including timestamps and speaker counts directly from the AI interface.
- Export & Format Control — Retrieve transcribed text in multiple formats (TXT, DOCX, SRT) and manage file exports via simple AI commands.
- Language & Model Intelligence — Access available transcription languages and AI models to ensure your results are optimized for your specific content.
- Operational Monitoring — Check your account credits, monitor usage statistics, and manage webhooks to ensure your transcription pipeline is always synchronized.
The Speechnotes MCP Server exposes 12 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Speechnotes tools available for Cursor
When Cursor connects to Speechnotes through Vinkius, your AI agent gets direct access to every tool listed below — spanning transcription, speech-to-text, audio-processing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Sign payload
Check account balance
Export result format
Check job progress
Check usage logs
Get delivery endpoints
Get language codes
List past jobs
Get engine models
Delete job record
Check connection
Transcribe remote file
Connect Speechnotes to Cursor via MCP
Follow these steps to wire Speechnotes into Cursor. The entire setup takes under two minutes — your credentials stay safe behind the 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 Speechnotes
Why Use Cursor with the Speechnotes MCP Server
Cursor AI Code Editor provides unique advantages when paired with Speechnotes 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
Speechnotes + Cursor Use Cases
Practical scenarios where Cursor combined with the Speechnotes 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 Speechnotes in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Speechnotes immediately.
"Transcribe the audio file at this URL: 'https://example.com/interview.mp3'."
"Transcribe the latest team meeting recording and generate a summary with action items."
"Show me all transcriptions from the past week with their word counts and language detection."
Troubleshooting Speechnotes MCP Server with Cursor
Common issues when connecting Speechnotes to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Speechnotes + Cursor FAQ
Common questions about integrating Speechnotes 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.