How to Use the Eden AI MCP in Claude

Q: How do I configure the Eden AI MCP Server in my Claude Desktop app?

Open your claudedesktopconfig.json file and add the server configuration under the mcpServers key. Provide your API key as an environment variable, then restart the application to let Claude run the tools.

Q: Can Claude Desktop show my actual billing balance using Eden AI?

Yes, your local agent can call the getedenaimetadata tool directly within your chat window. This retrieves your current credit balance and account tier without requiring you to open a web browser.

Q: How does Claude Desktop handle model selection with the Eden AI MCP Server?

The desktop application queries listallllmmodels to find active models across all integrated providers. You can then ask the model to compare features or pricing based on the returned list.

Q: What happens if an external provider goes down?

You can run quickaiprovideraudit to check the status and health scores of alternative text analysis models. This lets you quickly identify which backup provider to switch to.

Let Claude Desktop query Eden AI to monitor your multi-provider costs, audit text models, and run automated workflows directly from your chat.

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Connect Eden AI MCP to Claude Desktop

Create your Vinkius account to connect Eden AI to Claude Desktop 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 Claude Desktop

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Audit LLM costs directly inside Claude Desktop

Stop jumping to the browser just to check what OpenAI or Google are charging you today. This MCP Server lets your local Claude Desktop client pull live pricing data with `get_ai_feature_pricing` and audit active vendors using `quick_ai_provider_audit`. You get raw numbers right in your chat panel, making it easy to decide which model to target next. Your local agent uses `get_api_usage_statistics` to monitor your current spending thresholds. Claude Desktop reads these metrics to warn you when a specific model starts eating up too much of your budget, keeping your local testing cheap and predictable.

Control your Eden AI workflows from your chat

Manage your multi-provider pipelines without leaving your workspace. By running this MCP Server, Claude Desktop calls `list_ai_workflows` to fetch your active automation pipelines and inspects their details using `get_workflow_configuration`. You can see exactly how your data routes through different translation or speech tools. If you need to check which automated steps changed recently, your agent runs `list_latest_ai_automations` to show you the latest updates. This lets you debug broken integrations right from the chat box instead of digging through web consoles.

Discover models and providers on the fly

Finding the right model for a task usually requires digging through vendor documentation. With this integration, Claude Desktop uses `list_all_llm_models` to query the unified API and display every available model version instantly. It gives you immediate access to the exact model strings you need for your configuration files. Your agent can also query `list_ai_providers` and `list_available_ai_features` to see which vendors support specific features like OCR or translation. This helps you swap providers inside your local workspace when a specific API goes down or changes its terms.

Setup guide

Set up Eden AI MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Eden AI MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Eden AI MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under eden-ai-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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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One

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Common questions about Eden AI MCP in Claude Desktop

Open your `claude_desktop_config.json` file and add the server configuration under the `mcpServers` key. Provide your API key as an environment variable, then restart the application to let Claude run the tools.

Yes, your local agent can call the `get_eden_ai_metadata` tool directly within your chat window. This retrieves your current credit balance and account tier without requiring you to open a web browser.

The desktop application queries `list_all_llm_models` to find active models across all integrated providers. You can then ask the model to compare features or pricing based on the returned list.

You can run `quick_ai_provider_audit` to check the status and health scores of alternative text analysis models. This lets you quickly identify which backup provider to switch to.

Your API usage statistics and workflow configurations never leave your local machine except to communicate directly with the secure endpoint. Vinkius runs the server in an isolated sandbox, meaning your raw metrics and keys are never stored or logged on our platform.

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