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Conduit MCP Server for Cursor 8 tools — connect in under 2 minutes

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Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

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Classic Setup·json
{
  "mcpServers": {
    "conduit": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Conduit
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* 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.

Cursor's Agent mode turns Conduit into an in-editor superpower. Ask Cursor to generate code using live data from Conduit and it fetches, processes, and writes. all in a single agentic loop. 8 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

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 Cursor 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 Cursor via MCP

Follow these steps to integrate the Conduit MCP Server with Cursor.

01

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

02

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

03

Save the file

Cursor will automatically detect the new MCP server

04

Start using Conduit

Open Agent mode in chat and ask: "Using Conduit, help me...". 8 tools available

Why Use Cursor with the Conduit MCP Server

Cursor AI Code Editor provides unique advantages when paired with Conduit through the Model Context Protocol.

01

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

02

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

03

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

04

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Conduit + Cursor Use Cases

Practical scenarios where Cursor combined with the Conduit MCP Server delivers measurable value.

01

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

02

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

03

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

04

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Conduit MCP Tools for Cursor (8)

These 8 tools become available when you connect Conduit to Cursor via MCP:

01

get_run_status

Returns detailed status, timing, and error information. Retrieve the current status of a specific workflow run

02

get_workflow

Returns source, destination, and current status. Retrieve detailed information about a specific workflow

03

list_available_destinations

Retrieve available data destination connector types supported by Conduit

04

list_available_sources

Retrieve available data source connector types supported by Conduit

05

list_connections

Retrieve a list of all active source and destination connections

06

list_workflow_runs

Returns the execution history with status and timestamps for each run. Retrieve the history of runs for a specific workflow

07

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

08

trigger_workflow

Use list_workflows first to find the workflow ID. Manually trigger a run for a specific workflow

Example Prompts for Conduit in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Conduit immediately.

01

"Retrieve the current status of all major pipelines running in the production Conduit instance."

02

"Check if there's a configured destination connector named 's3-analytics-bucket' and briefly describe its configuration parameters."

03

"Pause the pipeline 'MySQL-to-Kafka' immediately."

Troubleshooting Conduit MCP Server with Cursor

Common issues when connecting Conduit to Cursor through the Vinkius, and how to resolve them.

01

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.
02

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Conduit + Cursor FAQ

Common questions about integrating Conduit MCP Server with Cursor.

01

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.
02

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.
03

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.
04

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.

Connect Conduit to Cursor

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.