Bring Data Streaming
to Claude Code
Create your Vinkius account to connect Conduit to Claude Code and start using all 8 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Append this integration into your AI application interface securely.
- Authorize connections providing the target instance Base URL, corresponding API Key, and an active Admin Password if applicable.
- Chat natively instructing your agent to inspect and orchestrate streams through plain text inputs directly.
Who is this for?
- Data Engineers — Instantly review health metrics regarding continuous synchronization services running between complex databases.
- DevOps Professionals — Confirm that new pipeline deployments successfully connected endpoints after infrastructure modifications.
- System Administrators — Request aggregate tracking reports validating if crucial operational data streams function continuously overnight.
Built-in capabilities (8)
Returns detailed status, timing, and error information. Retrieve the current status of a specific workflow run
Returns source, destination, and current status. Retrieve detailed information about a specific workflow
Retrieve available data destination connector types supported by Conduit
Retrieve available data source connector types supported by Conduit
Retrieve a list of all active source and destination connections
Returns the execution history with status and timestamps for each run. Retrieve the history of runs for a specific workflow
Use this as a starting point to discover workflow IDs for subsequent operations. Retrieve a list of all data integration workflows in Conduit
Use list_workflows first to find the workflow ID. Manually trigger a run for a specific workflow
Why Claude Code?
Claude Code registers Conduit as an MCP server in a single terminal command. Once connected, Claude Code discovers all 8 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Conduit data drives decisions without human intervention.
- —
Single-command setup:
claude mcp addregisters the server instantly. no config files to edit or applications to restart - —
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
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Claude Code runs headlessly, enabling unattended batch processing using Conduit tools in cron jobs or deployment scripts
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Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
Conduit in Claude Code
Why run Conduit with Vinkius?
The Conduit connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 8 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Conduit using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Conduit and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Conduit to Claude Code through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Conduit for Claude Code
Every request between Claude Code and Conduit is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
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.
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 tools to see which plugins are attached, their configuration parameters, and their current health status.
How do I add an MCP server to Claude Code?
Run claude mcp add <name> --transport http "<url>" in your terminal. Claude Code registers the server and discovers all tools immediately.
Can Claude Code run MCP tools in headless mode?
Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.
How do I list all connected MCP servers?
Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.
Command not found: claude
Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code
Connection timeout
Check your internet connection and verify the Edge URL is reachable
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