How to Use the Beekeeper MCP in Cursor

Q: How do I add the Beekeeper server to my Cursor setup?

Create a .cursor/mcp.json file in your project root and add the server configuration under the MCP settings. Once saved, enable Agent mode in your chat window to let the editor invoke the tools.

Q: Can my Cursor agent write code that triggers Beekeeper posts?

Yes, your agent can use the createpost tool to send test broadcasts while you write and debug your communication scripts. This lets you verify payload structures directly in your editor.

Q: How do I find active streams using the editor?

Your agent runs the liststreams tool to retrieve all active channels. You can use this list to hardcode stream IDs or verify routing paths in your code.

Query Beekeeper user directories and post updates directly from your Cursor editor.

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Connect Beekeeper MCP to Cursor

Create your Vinkius account to connect Beekeeper 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 Beekeeper with Cursor

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Test integration code using live Beekeeper MCP Server data

The `get_tenant_info` tool gives your Cursor agent immediate access to real workspace data during development. Instead of writing mock objects, your editor pulls live tenant configurations to test your code under real-world conditions. Having this MCP setup available speeds up debugging. Your agent can run live checks, verify response shapes, and write accurate integration logic on the first try.

Query employee records while writing code

The `search_users` tool lets your agent look up specific employee profiles without leaving your workspace. When writing notification logic, your agent can search for real users to verify email formats and user IDs. You can also call `list_users` and `get_user` to inspect the structure of your company's directory. This keeps your code aligned with the actual data schema your production app will face.

Monitor stream posts and messages directly in Cursor

The `list_posts` and `list_messages` tools allow your agent to read active message feeds while you write custom webhooks. You can see how posts are structured in real-time, making it easy to build accurate parsers. If you need to test write operations, the agent can trigger `create_post` or `send_message` on test channels. This gives you a fast feedback loop without switching to an external API client.

Setup guide

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

.cursor/mcp.json

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Beekeeper. 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 Beekeeper MCP in Cursor

Create a `.cursor/mcp.json` file in your project root and add the server configuration under the MCP settings. Once saved, enable Agent mode in your chat window to let the editor invoke the tools.

Yes, your agent can use the `create_post` tool to send test broadcasts while you write and debug your communication scripts. This lets you verify payload structures directly in your editor.

No, you can configure it globally or keep it project-specific. Project-level setup is ideal for keeping your workspace dependencies clean.

Your agent runs the `list_streams` tool to retrieve all active channels. You can use this list to hardcode stream IDs or verify routing paths in your code.

Yes, your API keys are stored securely within Vinkius and never hardcoded in your local files. This MCP server processes requests through encrypted, zero-trust endpoints that do not persist your communication payloads.

Use it with your favorite AI tools

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

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