How to Use the Jiminny MCP in Cursor

Q: Can I use Cursor to test custom scripts against Jiminny transcripts?

Yes, your agent can call gettranscript to fetch real conversational text. This lets you test regex patterns or NLP models directly inside your workspace.

Q: How do I fetch team lists using Jiminny in Cursor?

Ask the editor's agent to run listteams or listusers. The tool returns the active directory data directly into your open file or chat window.

Q: What do I do if my API queries return empty results?

Use checkjiminnystatus to verify that your credentials are valid. If the connection is fine, check that the activity IDs you are querying actually exist in your workspace.

Feed real sales transcripts and coaching data directly into your code with Cursor.

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Connect Jiminny MCP to Cursor

Create your Vinkius account to connect Jiminny 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 Jiminny with Cursor

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Build CRM integrations using live call data in Cursor

The `get_activity` tool pulls real call metadata directly into Cursor, letting you test your custom CRM sync scripts with actual production payloads. Your agent uses these live payloads to write precise TypeScript interfaces or Python models. Stop guessing the API response structure when writing code. This MCP Server connects your code editor directly to your conversation intelligence pipeline, fetching actual data structures in real-time.

Generate coaching dashboards with real metrics

The `get_coaching_stats` tool delivers actual rep performance numbers directly to your active Cursor coding workspace. When building custom manager dashboards, your agent calls this tool to verify how data fields map to your UI components. Combine this with `list_teams` to populate your interface with real organizational structures. It eliminates the friction of designing interfaces with placeholder names that do not match reality.

Automate action item workflows in Cursor

The `get_action_items` tool retrieves post-call tasks directly through your Cursor editor's MCP agent mode. You can write and test automated triggers that parse these tasks and push them to your project management tools. Run `list_activities` to pull a batch of recent meetings to test your parser's accuracy. Having this data inside Cursor means you can debug your parsing logic in one continuous workflow.

Setup guide

Set up Jiminny 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 Jiminny 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 Jiminny transactions." If the MCP tools are loaded correctly, Cursor will call the Jiminny tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "jiminny-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 Jiminny. 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 Jiminny MCP in Cursor

Add the server details to your local configuration file in your project root. Once you save the MCP configuration, the editor enables the tools for your agent in chat mode.

Yes, your agent can call `get_transcript` to fetch real conversational text. This lets you test regex patterns or NLP models directly inside your workspace.

Ask the editor's agent to run `list_teams` or `list_users`. The tool returns the active directory data directly into your open file or chat window.

Use `check_jiminny_status` to verify that your credentials are valid. If the connection is fine, check that the activity IDs you are querying actually exist in your workspace.

No, your coaching metrics and call transcripts are never cached by the editor. This MCP connection routes the data through secure tunnels directly to your local editor session.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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