IBM watsonx MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect IBM watsonx through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"ibm-watsonx": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "IBM watsonx Agent",
instructions:
"You help users interact with IBM watsonx " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with IBM watsonx?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About IBM watsonx MCP Server
Connect IBM watsonx to any AI agent via MCP.
How to Connect IBM watsonx to Mastra AI via MCP
Follow these steps to integrate the IBM watsonx MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from IBM watsonx via MCP
Why Use Mastra AI with the IBM watsonx MCP Server
Mastra AI provides unique advantages when paired with IBM watsonx through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add IBM watsonx without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every IBM watsonx tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
IBM watsonx + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the IBM watsonx MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query IBM watsonx, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed IBM watsonx as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query IBM watsonx on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using IBM watsonx tools alongside other MCP servers
IBM watsonx MCP Tools for Mastra AI (10)
These 10 tools become available when you connect IBM watsonx to Mastra AI via MCP:
create_prompt
Create a new prompt in watsonx
generate_chat
Use this for multi-turn conversational AI applications. Generate chat completions using a watsonx chat model
generate_embeddings
Useful for similarity search, clustering, and semantic analysis. Generate vector embeddings for input texts
generate_text
Use this for single-turn text generation tasks like content creation, summarization, or analysis. Generate text using a watsonx foundation model
get_model_details
Get detailed specifications for a specific foundation model
get_tuning_status
Get the status of a prompt tuning job
list_models
ai, including model IDs, families, capabilities, and lifecycle states. List available foundation models in watsonx
list_projects
List watsonx projects in your account
list_prompts
List saved prompts in the watsonx project
start_model_tuning
Requires a URL pointing to the training data in cloud storage. Start a prompt tuning job for a foundation model
Troubleshooting IBM watsonx MCP Server with Mastra AI
Common issues when connecting IBM watsonx to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpIBM watsonx + Mastra AI FAQ
Common questions about integrating IBM watsonx MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect IBM watsonx with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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.
Connect IBM watsonx to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.