
Connect Conduit to ChatGPT, Claude and Gemini
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Manage real-time data synchronization through natural language.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 8 capabilities
We ship only the actions that matter.
01-04
4 capabilities in this set.
Part of 8 available through Conduit.
- 01
Get run status
This capability pulls specific timing, error details, and the current status of a single workflow run.
- 02
Get workflow
Use this to retrieve the source, destination, and current operational status of a specific workflow.
- 03
List available destinations
This capability returns a list of all destination connector types currently supported by Conduit.
- 04
List available sources
This capability provides a list of all available source connector types in your Conduit instance.
05-08
4 capabilities in this set.
Part of 8 available through Conduit.
- 05
List connections
This capability retrieves a full list of all active source and destination connections.
- 06
List workflow runs
This capability pulls the execution history for a specific workflow, including timestamps and status for every run.
- 07
List workflows
This capability lists all data integration workflows, which helps you find the IDs needed for other operations.
- 08
Trigger workflow
This capability manually starts a new run for a specific workflow ID.
Real work
What teams actually run
Rapid Debugging
When a pipeline fails, ask your agent to pull the logs for that specific run to find the error.
Deployment Verification
After updating infrastructure, use the agent to confirm that all connectors are active and mapped.
Routine Health Checks
Ask your agent every morning to report on any degraded pipelines from the overnight syncs.
Connector Inventory
Quickly list all available sources and destinations to plan new data integrations.
Automate a task
Put Conduit to work on one thing.
Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.
One connector, every AI
Conduit works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Conduit to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
887ms average. Fast in production.
Conduit is checked daily against the live service.
- Fastest day
- 690ms
- Slowest day
- 1171ms
- 14-day trend
- Slowing+10%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 8 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Conduit, so you can see the experience inside your AI.
It does not authenticate your account with Conduit. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Conduit Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_BeW6ubE4lh69UAetvEDl1Ynez7lChM15fiyrtFlY/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Conduit capabilities are ready to use.
{
"mcpServers": {
"conduit-mcp": {
"url": "https://edge.vinkius.com/vk_preview_BeW6ubE4lh69UAetvEDl1Ynez7lChM15fiyrtFlY/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? Set up Conduit in Claude and other AIs
Who it's for
Built for the work Conduit owners hand off.
This MCP is built for technical professionals managing continuous data movement.
- 01
Data Engineers
They use the agent to monitor health metrics for synchronization services between databases.
- 02
DevOps Professionals
They use the agent to confirm that new pipeline deployments correctly connected endpoints.
- 03
System Administrators
They use the agent to request aggregate reports that validate data stream continuity.
FAQ
Questions Conduit owners ask.
- 01
Can I pause or delete pipelines using this MCP?
No. For safety reasons, this MCP is limited to inspecting pipelines and displaying logs. You must use the Conduit dashboard to pause, modify, or delete pipelines.
- 02
What AI clients can I use with this MCP?
You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.
- 03
Do I need admin credentials?
If your Conduit instance requires it, you will need to provide an active Admin Password during the authorization step.
- 04
How does the agent find my workflows?
The agent uses the list_workflows capability to discover workflow IDs, which it then uses to perform more specific tasks like checking status or triggering runs.
- 05
Is my data secure?
Yes, Vinkius hosts the MCP and manages your credentials securely, allowing your agent to interact with your Conduit instance via authorized API calls.
- 06
How do I systematically obtain an active API Key targeting the Conduit platform?
Depending absolutely on how your infrastructure deployed the program (standalone desktop executable, core Docker containerized setups, or external Cloud instance providers), keys are defined at setup. Generally, navigate your hosted interface configurations to visually spot specific 'API section' panels or define standard keys via backend environment base configurations (for Docker setup instances, parameters typically refer natively mapping to 'CONDUIT_API_URL'). Insert keys properly downwards with other core data completely preserving original syntax precisely achieving seamless valid interactive integrations securely effortlessly resolving requirements seamlessly connecting completely natively without technical failures preventing operations running clearly correctly natively actively continuously stably.
- 07
Can the text-based conversational integration construct entirely new data mapping pipelines logically?
For maintaining stability and avoiding potentially flawed or disruptive integration commands inadvertently given through free text models over critical systems, this integration focuses capabilities mostly on analytical monitoring, status reviewing and component checks (observer and reporting methodologies). Direct architectural construction mapping entire data flow pipelines heavily relies on original detailed configurations inside Conduit visually rather than natural language textual generative guesses mitigating potential serious enterprise data leaks implicitly actively safely limiting functions structurally appropriately maintaining steady uncompromised safe connections.
- 08
Which connector types can the AI list?
The integration can list both source and destination connectors configured in your Conduit instance. Use the pipeline inspection capabilities to see which plugins are attached, their configuration parameters, and their current health status.
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Connect Conduit to Claude, Cursor, ChatGPT & more
