Conduit MCP Server for Windsurf 8 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Conduit through 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 Conduit and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"conduit": {
"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 Conduit MCP Server
Connect your AI agent seamlessly with Conduit, the modern data integration and synchronization platform. Utilizing natural language interactions, users can instruct the AI to oversee active streaming health, check connectors, and extract pipeline logs without accessing the conventional web dashboard interfaces.
Windsurf's Cascade agent chains multiple Conduit tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 8 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Pipeline Management — Request status overviews of active, paused, or degraded data integration pipelines efficiently.
- Connector Auditing — Ask the agent to locate specific connectors (source or destination) mapped to your critical infrastructure.
- Log Evaluation — Fetch recent application logs or streaming output reports via conversation to debug integration errors on the fly.
The Conduit MCP Server exposes 8 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Conduit to Windsurf via MCP
Follow these steps to integrate the Conduit 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 Conduit
Open Cascade and ask: "Using Conduit, help me...". 8 tools available
Why Use Windsurf with the Conduit MCP Server
Windsurf provides unique advantages when paired with Conduit 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 8 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Conduit + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Conduit MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Conduit and generate models, types, or handlers based on real API responses
Live debugging: query Conduit tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Conduit and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Conduit data with Cascade's code generation to scaffold entire features in minutes
Conduit MCP Tools for Windsurf (8)
These 8 tools become available when you connect Conduit to Windsurf via MCP:
get_run_status
Returns detailed status, timing, and error information. Retrieve the current status of a specific workflow run
get_workflow
Returns source, destination, and current status. Retrieve detailed information about a specific workflow
list_available_destinations
Retrieve available data destination connector types supported by Conduit
list_available_sources
Retrieve available data source connector types supported by Conduit
list_connections
Retrieve a list of all active source and destination connections
list_workflow_runs
Returns the execution history with status and timestamps for each run. Retrieve the history of runs for a specific workflow
list_workflows
Use this as a starting point to discover workflow IDs for subsequent operations. Retrieve a list of all data integration workflows in Conduit
trigger_workflow
Use list_workflows first to find the workflow ID. Manually trigger a run for a specific workflow
Example Prompts for Conduit in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Conduit immediately.
"Retrieve the current status of all major pipelines running in the production Conduit instance."
"Check if there's a configured destination connector named 's3-analytics-bucket' and briefly describe its configuration parameters."
"Pause the pipeline 'MySQL-to-Kafka' immediately."
Troubleshooting Conduit MCP Server with Windsurf
Common issues when connecting Conduit to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Conduit + Windsurf FAQ
Common questions about integrating Conduit 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 Conduit with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Connect Conduit to Windsurf
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.