CData Connect Cloud MCP Server for Google ADK 8 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add CData Connect Cloud as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
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Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="cdata_connect_cloud_agent",
instruction=(
"You help users interact with CData Connect Cloud "
"using 8 available tools."
),
tools=[mcp_tools],
)
* 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 CData Connect Cloud MCP Server
What you can do
Command explicit telemetry matrices querying directly against native schemas using CData:
Google ADK natively supports CData Connect Cloud as an MCP tool provider — declare the 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.
- Discover External Endpoints natively listing every unified API database mapped cleanly
- Route Execution Data pulling structural schemas evaluating explicitly native columns inside virtual boundaries
- Tunnel Proxy Queries passing direct SQL evaluations extracting robust records limitatively pure
- Evaluate Topology Pings asserting cleanly the ping latencies verifying robust structural matrix proxies
- Add Connections via API spinning native integrations establishing directly programmatic logical scopes
The CData Connect Cloud MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK 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 CData Connect Cloud to Google ADK via MCP
Follow these steps to integrate the CData Connect Cloud MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 8 tools from CData Connect Cloud via MCP
Why Use Google ADK with the CData Connect Cloud MCP Server
Google ADK provides unique advantages when paired with CData Connect Cloud through the Model Context Protocol.
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 CData Connect Cloud
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 CData Connect Cloud tools with BigQuery, Vertex AI, and Cloud Functions
CData Connect Cloud + Google ADK Use Cases
Practical scenarios where Google ADK combined with the CData Connect Cloud MCP Server delivers measurable value.
Enterprise data agents: ADK agents query CData Connect Cloud and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine CData Connect Cloud tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query CData Connect Cloud regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including CData Connect Cloud
CData Connect Cloud MCP Tools for Google ADK (8)
These 8 tools become available when you connect CData Connect Cloud to Google ADK via MCP:
cdata_create_connection
Configure natively a brand new backend data source proxy utilizing CData logic
cdata_execute_query
Execute native proxy query routing seamlessly into the downstream DB parsing values cleanly
cdata_get_schema_metadata
Evaluate the complete backend graph exposing every available interaction limit mapped natively
cdata_get_table_columns
Explore precise schema fields declaring explicit definitions mapping purely onto the Table boundary
cdata_list_connections
Dumps the entire array of connected external data sources natively routed through CData
cdata_list_tables
Unpack virtually explicit structural collections mapped securely through the backend connection
cdata_list_workspaces
Enumerate explicitly all logical virtual Workspaces segmenting organizational data groups
cdata_test_connection
Assess logical bounds pinging explicitly the connected proxy
Example Prompts for CData Connect Cloud in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with CData Connect Cloud immediately.
"Deploy limits exploring active data source matrices listing completely the connected instances mapped over CData SaaS."
"Extract standard explicit schemas isolating strictly table mapping limits pointing to proxy target 'conn-abc-123' natively."
"Route direct programmatic parsing execution testing native SQL queries directly evaluating 'customers' limits bound to data target."
Troubleshooting CData Connect Cloud MCP Server with Google ADK
Common issues when connecting CData Connect Cloud to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkCData Connect Cloud + Google ADK FAQ
Common questions about integrating CData Connect Cloud MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect CData Connect Cloud with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect CData Connect Cloud to Google ADK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.