IBM watsonx MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect IBM watsonx through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install IBM watsonx and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"ibm-watsonx": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 Windsurf via MCP
Follow these steps to integrate the IBM watsonx MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using IBM watsonx
Open Cascade and ask: "Using IBM watsonx, help me..." — 10 tools available
Why Use Windsurf with the IBM watsonx MCP Server
Windsurf provides unique advantages when paired with IBM watsonx through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows — Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
IBM watsonx + Windsurf Use Cases
Practical scenarios where Windsurf combined with the IBM watsonx MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from IBM watsonx and generate models, types, or handlers based on real API responses
Live debugging: query IBM watsonx tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from IBM watsonx and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine IBM watsonx data with Cascade's code generation to scaffold entire features in minutes
IBM watsonx MCP Tools for Windsurf (10)
These 10 tools become available when you connect IBM watsonx to Windsurf 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 Windsurf
Common issues when connecting IBM watsonx to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
IBM watsonx + Windsurf FAQ
Common questions about integrating IBM watsonx MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect IBM watsonx with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Connect IBM watsonx to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.