Ebby MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes
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.
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{
"mcpServers": {
"ebby": {
"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 Ebby MCP Server
Integrate Ebby, the powerful automatic transcription and subtitling platform, directly into your AI workflow. Manage your audio and video transcriptions, track real-time processing statuses and durations, retrieve transcribed text in various formats (TXT, SRT, VTT), and oversee speaker identification using natural language.
GitHub Copilot Agent mode brings Ebby data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
What you can do
- Transcription Oversight — List and retrieve detailed information and status for all your audio and video transcription projects.
- Content Intelligence — Access the actual transcribed text content and identified speaker labels directly via chat.
- Processing Monitoring — Track real-time processing progress, file durations, and language settings for your media library.
- Account Auditing — Retrieve high-level summaries of transcription activity, remaining minutes, and organizational metadata instantly.
The Ebby MCP Server exposes 10 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Ebby to VS Code Copilot via MCP
Follow these steps to integrate the Ebby MCP Server with VS Code Copilot.
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 Ebby
Ask Copilot: "Using Ebby, help me...". 10 tools available
Why Use VS Code Copilot with the Ebby MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Ebby 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
Ebby + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Ebby 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
Ebby MCP Tools for VS Code Copilot (10)
These 10 tools become available when you connect Ebby to VS Code Copilot via MCP:
get_ebby_account_metadata
Retrieve metadata and usage limits for your Ebby account
get_transcription_details
Get detailed settings and status for a specific transcription
get_transcription_text
Retrieve the transcribed text content for a specific file
list_audio_transcriptions
List all transcriptions created in your Ebby account
list_in_progress_transcriptions
Identify transcriptions that are currently in the processing queue
list_latest_transcriptions
Identify the most recently created or updated transcriptions
list_successfully_processed_audio
Identify transcriptions that have finished processing and are ready for export
list_transcription_speakers
List all speakers identified in a specific transcription
quick_transcription_volume_audit
Retrieve a high-level summary of transcription activity and processing rates
search_transcriptions_by_name
Search for transcriptions using a filename or title keyword
Example Prompts for Ebby in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot agent to start working with Ebby immediately.
"List all completed transcriptions."
"Show me the transcribed text for 'Interview_John_Doe.mp3' in SRT format."
"Check how many minutes are remaining in my Ebby account."
Troubleshooting Ebby MCP Server with VS Code Copilot
Common issues when connecting Ebby to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
Ebby + VS Code Copilot FAQ
Common questions about integrating Ebby MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.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.Connect Ebby with your favorite client
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Microsoft's framework for multi-agent collaborative conversations.
Connect Ebby to VS Code Copilot
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
