How to Use the Eden AI MCP in Cursor

Q: How do I add the Eden AI MCP Server tools to my Cursor editor?

Create a .cursor/mcp.json file in your project root and define the server under the mcpServers block. Once saved, enable Agent mode in your editor chat to start using the tools.

Q: Can Cursor write code based on my active Eden AI workflows?

Yes, Cursor uses listaiworkflows and getworkflowconfiguration to read your active pipelines. The editor then writes matching integration code using the exact steps configured in your account.

Q: How do I debug API pricing changes inside Cursor using this MCP Server?

You can ask the editor to run getaifeaturepricing for a specific feature. Cursor compares the costs across different providers and helps you update your configuration files with the cheapest option.

Q: Can I see which providers support a specific feature like translation?

Yes, you can query listaiproviders to get a list of active vendors for any supported feature. This helps you quickly swap providers in your code when needed.

Write code in Cursor that dynamically pulls live Eden AI provider rates, checks active workflows, and manages model configurations.

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Connect Eden AI MCP to Cursor

Create your Vinkius account to connect Eden 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 Eden AI with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Generate accurate API code in Cursor

Stop writing code with outdated, hardcoded model names. When you run this MCP Server inside Cursor, your editor uses `list_all_llm_models` to pull real-time model names directly into your active file. This ensures your code references actual, active models instead of obsolete stubs. Your AI developer can also call `list_available_ai_features` to see which features are supported by the API. It writes the exact JSON payload you need, using live schema definitions instead of guessing the parameters from old documentation.

Monitor API spending during active development

Debugging complex API calls can silently drain your development budget. Cursor runs `get_api_usage_statistics` to track exactly how much your code is costing you during test runs. You get instant feedback on your billing metrics directly in the composer panel. If you need to check if you have enough credits to run a massive batch job, your editor calls `get_eden_ai_metadata`. This shows you your active balance so you don't run into unexpected API blocks mid-deployment.

Inspect workflow settings while coding

Writing integrations for multi-provider pipelines is tricky when you cannot see the pipeline structure. Cursor uses this MCP Server to query `get_workflow_configuration` to read your active automation configurations and display them alongside your code. This lets you match your local payload structure to the expected workflow schema. You can also run `list_latest_ai_automations` to check which of your backend workflows were updated recently. Your editor reads this list to make sure your local code aligns with the latest changes deployed to your production pipelines.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "eden-ai-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 Eden 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 Eden AI MCP in Cursor

Create a `.cursor/mcp.json` file in your project root and define the server under the `mcpServers` block. Once saved, enable Agent mode in your editor chat to start using the tools.

Yes, Cursor uses `list_ai_workflows` and `get_workflow_configuration` to read your active pipelines. The editor then writes matching integration code using the exact steps configured in your account.

You can ask the editor to run `get_ai_feature_pricing` for a specific feature. Cursor compares the costs across different providers and helps you update your configuration files with the cheapest option.

Yes, you can query `list_ai_providers` to get a list of active vendors for any supported feature. This helps you quickly swap providers in your code when needed.

Yes, your workflow settings and API keys are protected by an ephemeral, zero-trust sandbox environment on Vinkius. Your sensitive credentials and configurations are strictly used to authenticate requests to the endpoint and are never cached or exposed to third parties.

Use it with your favorite AI tools

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