How to Use the Fireflies.ai MCP in Cursor

Q: How do I configure Fireflies.ai inside Cursor?

Add the server details to your .cursor/mcp.json file in the project root. This allows the editor to detect the tools in Agent mode automatically.

Q: Is the Fireflies.ai MCP server visible to my whole team in Cursor?

If you commit the .cursor/mcp.json file to your repository, every developer on the project can use the same tools. It keeps the team on the same page.

Write code based on real meeting decisions. Cursor and Fireflies.ai bridge the gap between spoken strategy and implementation.

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Connect Fireflies.ai MCP to Cursor

Create your Vinkius account to connect Fireflies.ai to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Fireflies.ai with Cursor

Ask AI about this MCP

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Claude

Perplexity

Inject meeting insights into Cursor

Stop guessing what the client asked for in that last sync. Use `get_ai_app_outputs` to pull structured requirements directly into your active coding session. Your AI agent uses this live data to suggest code changes that actually match the discussed project scope. It saves you from constant context switching.

Search team history in Cursor

Need to remember a specific technical decision? Run `list_transcripts` to find the exact meeting where the team settled on the architecture. Once you identify the right call, `get_transcript` brings the full context into your editor. You can reference specific speaker notes without leaving your terminal.

Automate meeting cleanup

Keep your project records tidy by calling `delete_transcript` or `update_meeting_title` as you work. This keeps your documentation relevant without manual intervention. Your agent manages these updates in the background. It ensures your meeting database stays as organized as your codebase.

Setup guide

Set up Fireflies.ai MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Fireflies.ai MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Fireflies.ai transactions." If the MCP tools are loaded correctly, Cursor will call the Fireflies.ai tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "firefliesai-alternative-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fireflies.ai. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Fireflies.ai MCP in Cursor

Add the server details to your `.cursor/mcp.json` file in the project root. This allows the editor to detect the tools in Agent mode automatically.

The server provides the context, and your AI agent applies that data to your files. You can ask it to generate boilerplate based on `get_ai_app_outputs` results.

No, you provide your API key via environment variables or your config file. The editor never persists your sensitive credentials in the workspace.

If you commit the `.cursor/mcp.json` file to your repository, every developer on the project can use the same tools. It keeps the team on the same page.

Only the transcripts you specifically query are pulled into the editor. Your meeting data is never exposed unless you explicitly trigger a tool call.

Use it with your favorite AI tools

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