How to Use the CData Connect Cloud MCP in AutoGen

Q: How do I register CData Connect Cloud tools with AutoGen?

Install autogen-extmcp first. Use our MCP integration with mcpservertools pointing to your Vinkius URL, then pass the resolved tools list straight into your AssistantAgent constructor.

Q: Can AutoGen agents configure connections dynamically through CData Connect Cloud?

Yes. An agent can call cdatacreateconnection to configure a new backend proxy, then hand the connection details to another agent to run queries.

Q: How do AutoGen agents handle SQL errors from CData Connect Cloud?

When cdataexecutequery returns an error, the executing agent shares the raw database error with the group. The coder agent then rewrites the SQL query based on the error feedback and tries again.

Q: Is the SQL data passing through AutoGen and Vinkius secure?

Connection credentials and query payloads processed by cdataexecutequery are kept strictly inside an isolated V8 sandbox. No data is written to disk, and the execution environment is destroyed immediately after the session.

Let your AutoGen agents debate query strategies and verify database connections before running live SQL.

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Connect CData Connect Cloud MCP to AutoGen

Create your Vinkius account to connect CData Connect Cloud to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup CData Connect Cloud with AutoGen

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Collaborative database schema audits

The `cdata_list_tables` and `cdata_get_table_columns` tools let your agents inspect database structures before writing code. In AutoGen, your analyst agent can find tables, while a separate security agent inspects the columns to check for sensitive data. They debate whether the query is safe to run. Once they agree, the analyst agent executes the safe SQL using `cdata_execute_query`, ensuring your database isn't exposed to reckless LLM behavior.

Multi-agent connection testing via MCP Server

The `cdata_create_connection` and `cdata_test_connection` tools let your agents collaborate to establish and verify new database proxies. When setting up fresh data pipelines, your agents can work together. One agent triggers the connection setup, while a supervisor agent runs the test. If the test fails, the agents discuss the error logs, adjust the connection parameters, and try again. This self-healing loop runs completely in the background without requiring manual developer intervention.

Workspace and boundary management

The `cdata_list_workspaces` and `cdata_get_schema_metadata` tools expose the logical boundaries and interaction limits of your data environments. Keep your multi-agent conversations organized using this MCP Server across different environments to prevent data leaks between development and production. By checking the schema metadata, the planning agent knows the exact interaction limits before delegating heavy query tasks. This keeps your conversational loops from getting stuck on throttled connections.

Setup guide

Set up CData Connect Cloud MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes CData Connect Cloud tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="CData Connect Cloud_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent CData Connect Cloud data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="CData Connect Cloud_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent CData Connect Cloud data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CData Connect. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about CData Connect Cloud MCP in AutoGen

Install `autogen-ext[mcp]` first. Use our MCP integration with `mcp_server_tools` pointing to your Vinkius URL, then pass the resolved tools list straight into your `AssistantAgent` constructor.

Yes. An agent can call `cdata_create_connection` to configure a new backend proxy, then hand the connection details to another agent to run queries.

When `cdata_execute_query` returns an error, the executing agent shares the raw database error with the group. The coder agent then rewrites the SQL query based on the error feedback and tries again.

Yes, the AutoGen adapter handles both transport layers. When running on Vinkius, you will configure it to use the secure, streamable HTTP transport endpoint.

Connection credentials and query payloads processed by `cdata_execute_query` are kept strictly inside an isolated V8 sandbox. No data is written to disk, and the execution environment is destroyed immediately after the session.

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