Bring Data Streaming
to Google ADK
Create your Vinkius account to connect Conduit to Google ADK 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 Google ADK?
Google ADK natively supports Conduit as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
- —
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
- —
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Conduit
- —
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
- —
Seamless integration with Google Cloud services means you can combine Conduit tools with BigQuery, Vertex AI, and Cloud Functions
Conduit in Google ADK
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 Google ADK 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 Google ADK
Every request between Google ADK 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 does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
Explore More MCP Servers
View all →
timeghost
10 toolsLog working hours directly from Microsoft Teams and Outlook with time tracking that integrates into the tools you already use.
Trend Micro
8 toolsEquip your AI agent with Vision One telemetry to investigate threats, audit endpoint activities, and manage security alerts natively.
N26 Banking
3 toolsUniversal N26 intelligence — check balances, accounts, and spaces via AI.
Zapier
6 toolsMonitor automated workflows, audit app connections, and search for Zap templates on Zapier — the leader in AI orchestration.