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Vinkius

IBM watsonx Connector for AI agents.

10 live capabilities

Manage enterprise foundation models and prompt tuning from your workspace.

Live agent request IBM watsonx / Connector

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AI Agent

Why people use IBM watsonx

IBM watsonx for Enterprise Foundation Model Management

With this Connector, you can do all of that from your chat interface. Just ask your agent to list the models or show you the details of a specific one, and you'll get the data you need without the extra clicks.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a direct bridge to IBM's enterprise AI models inside your favorite workspace.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Checking model specs for a new project

    An ML engineer needs to know which models fit their requirements.

  2. Real-world use case 02

    Summarizing large batches of content

    A content creator has a pile of transcripts.

  3. Real-world use case 03

    Monitoring training jobs

    A developer starts a prompt tuning job and wants to know when it's done.

Complete set · 10capabilities

The complete IBM watsonx capability set.

These are the exact actions your AI can choose when you ask it to work with IBM watsonx.

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 10 available through IBM watsonx.

  1. 01 Capability

    Create prompt

    Create a new prompt in your watsonx project. It saves your instructions for later use.

  2. 02 Capability

    Generate chat

    Generate multi-turn chat completions using a watsonx chat model. This is perfect for building conversational apps.

  3. 03 Capability

    Generate embeddings

    Turn your text into vector embeddings. Use these for similarity searches and clustering your data.

  4. 04 Capability

    Generate text

    Create text for summaries or content generation. It uses a foundation model to produce single-turn outputs.

Capability set02 / 03

05—07

3 capabilities in this set.

Part of 10 available through IBM watsonx.

  1. 05 Capability

    Get model details

    See the full specs for a specific foundation model. It shows you the details you need to make a choice.

  2. 06 Capability

    Get tuning status

    Check if your prompt tuning job is finished. It returns the current status of your active job.

  3. 07 Capability

    List models

    See all the foundation models available in watsonx. It shows you IDs, families, and capabilities.

Capability set03 / 03

08—10

3 capabilities in this set.

Part of 10 available through IBM watsonx.

  1. 08 Capability

    List projects

    Get a list of all your projects. This helps you keep track of your different workspaces.

  2. 09 Capability

    List prompts

    See every prompt you've saved in a specific project. It makes it easy to find your best instructions.

  3. 10 Capability

    Start model tuning

    Start a prompt tuning job for a model. You just need to provide a URL to your training data in cloud storage.

Set up in minutes

One URL. Then ask IBM watsonx to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use IBM watsonx from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_gXytFT8fNy6ELfNWb5ZhGBzw4TcaHPZqjIMO9o5b/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it IBM watsonx, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable IBM watsonx for the conversation.

Where the request belongs

Work IBM watsonx can move forward.

Built around the request

Data scientists and ML engineers who need to manage production models without the overhead of manual dashboard navigation.

01

ML Engineer

Managing model tuning jobs and checking statuses while coding in their IDE.

02

Data Scientist

Generating embeddings and checking model specs for research and analysis.

03

AI Product Manager

Creating and listing prompts to test different conversation flows for customers.

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Bring your own AI

Change the model, client or framework. Keep IBM watsonx connected.

  • Claude
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Before you connect

Questions about IBM watsonx.

The practical details behind the request, access and result.

Can I use IBM watsonx with my AI agent?

Yes, this Connector connects your AI agent directly to IBM watsonx, letting you manage models and prompts from your preferred chat interface.

How do I start a prompt tuning job using this Connector?

Just tell your agent to start a tuning job and provide the URL for your training data in cloud storage. It handles the rest.

Can this Connector generate vector embeddings?

Yes, you can use it to turn text into vector embeddings for use in similarity searches, clustering, and other semantic analysis tasks.

Is this for production AI workflows?

Exactly. It's designed for enterprise environments that need to manage foundation models and prompt tuning at scale.

Can I see which models are available in my account?

Yes, you can ask your agent to list the foundation models in your watsonx environment to see their IDs, families, and capabilities.

Does this work with Claude or Cursor?

Yes, it works with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

One connection away

Give your agent a direct line to IBM watsonx.

Connect IBM watsonx once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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