Integrate IBM watsonx with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCreate prompt on IBM watsonx
Create a new prompt in watsonx
Generate chat on IBM watsonx
Use this for multi-turn conversational AI applications. Generate chat completions using a watsonx chat model
Generate embeddings on IBM watsonx
Useful for similarity search, clustering, and semantic analysis. Generate vector embeddings for input texts
Generate text on IBM watsonx
Use this for single-turn text generation tasks like content creation, summarization, or analysis. Generate text using a watsonx foundation model
Get model details on IBM watsonx
Get detailed specifications for a specific foundation model
Get tuning status on IBM watsonx
Get the status of a prompt tuning job
List models on IBM watsonx
ai, including model IDs, families, capabilities, and lifecycle states. List available foundation models in watsonx
List projects on IBM watsonx
List watsonx projects in your account
List prompts on IBM watsonx
List saved prompts in the watsonx project
Start model tuning on IBM watsonx
Requires a URL pointing to the training data in cloud storage. Start a prompt tuning job for a foundation model
Security & Code Integrity Audit
Every tool in the IBM watsonx MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
IBM watsonx. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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