How to Use the DeepOpinion (No-code NLP & Text AI API) MCP in Windsurf

Q: How do I connect DeepOpinion (No-code NLP & Text AI API) to Windsurf?

Open your /.codeium/windsurf/mcpconfig.json file and add the server configuration under the mcpServers key. Alternatively, use the Settings UI under Cascade to add the connection URL. Cascade auto-detects the tools immediately.

Q: Can Cascade autonomously choose which DeepOpinion (No-code NLP & Text AI API) model to run in Windsurf?

Yes, it can. Cascade uses the listmodels tool to inspect your active DeepOpinion models, reads their names, and matches them to your prompt's context. It then runs the prediction without asking you for the specific ID.

Run DeepOpinion NLP models and batch text predictions directly inside your Windsurf Cascade sessions.

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Connect DeepOpinion (No-code NLP & Text AI API) MCP to Windsurf

Create your Vinkius account to connect DeepOpinion (No-code NLP & Text AI API) to Windsurf 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 DeepOpinion (No-code NLP & Text AI API) with Windsurf

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Let Windsurf find your DeepOpinion NLP models

Cascade doesn't make you hunt for model IDs. It calls `list_models` on your DeepOpinion account via this MCP Server, figures out which custom text classifier or sentiment model fits your current task, and gets right to work. You don't have to copy-paste IDs from a web console. The agent reads the available models, selects the right one for your data, and keeps the workflow moving without a pause.

Run instant text predictions with this MCP Server

Cascade hooks into the `predict` tool to analyze incoming text on the fly. When it detects a customer feedback file or support ticket, it sends the payload to your model and handles the response. Instead of writing custom python wrappers, let your agent handle the API payload directly. It runs the text through your custom NLP pipeline and processes the classification results instantly.

Chain batch predictions inside Windsurf Cascade

Cascade excels when you feed it a folder of raw text files. It automatically chains `predict_batch` to run classification across hundreds of rows, parses the output, and writes the results to a structured file. You just set the goal to categorize a dataset. The agent plans the sequence, splits the text into batches, calls the tool, and saves the categorized data directly to your workspace.

Setup guide

Set up DeepOpinion (No-code NLP & Text AI API) MCP in Windsurf

Prerequisites

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

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the DeepOpinion (No-code NLP & Text AI API) MCP

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

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my DeepOpinion (No-code NLP & Text AI API) payment history." If connected, Cascade will call the DeepOpinion (No-code NLP & Text AI API) tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "deepopinion-no-code-nlp-text-ai-api-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 DeepOpinion. 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 DeepOpinion (No-code NLP & Text AI API) MCP in Windsurf

Open your ~/.codeium/windsurf/mcp_config.json file and add the server configuration under the mcpServers key. Alternatively, use the Settings UI under Cascade to add the connection URL. Cascade auto-detects the tools immediately.

Yes, it can. Cascade uses the `list_models` tool to inspect your active DeepOpinion models, reads their names, and matches them to your prompt's context. It then runs the prediction without asking you for the specific ID.

Cascade reads the file contents from your workspace and passes them to the `predict_batch` tool. It handles the array of strings in one go, avoiding multiple single API calls.

No code is required on your part. Cascade interacts directly with the API tools, executes the predictions, and formats the output inside your editor.

Your text payloads and model metadata go through a secure V8 isolate sandbox on Vinkius before hitting the API. We never store your raw text or prediction results, keeping your NLP operations completely ephemeral.

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