Load Broadcom VMware Cloud Foundation data to DuckDB

VMware Cloud Foundation provides a suite of REST APIs for managing SDDC components, infrastructure, and automation tasks via the VCF Identity Broker and unified endpoints. Everything needed to build a working Broadcom VMware Cloud Foundation → DuckDB pipeline is on this page: the API's base URL, authentication, endpoints, pagination and incremental field — plus a prompt that hands the whole job to your coding agent.

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Build your Broadcom VMware Cloud Foundation to DuckDB pipeline

Paste this prompt into Claude, Codex, or Cursor. The agent does the rest.

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Run uvx dlthub-init@latest to build a pipeline from Broadcom VMware Cloud Foundation to DuckDB and run it on dltHub

That scaffolds a dltHub workspace and installs the dltHub AI harness — the project rules, the secrets-management skill, and the dlt MCP server your agent needs to work safely. From there it reads the Broadcom VMware Cloud Foundation API, proposes the endpoints to load, then writes, runs and validates the pipeline while you review rather than type. Credentials are inspected through MCP tools, so your agent never reads secrets.toml itself. How the LLM-native workflow works →

Prefer to write it yourself? Every fact the agent uses is below.

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Broadcom VMware Cloud Foundation API at a glance

These values come from the Broadcom VMware Cloud Foundation API reference — the authoritative source if anything here looks out of date.

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How do I authenticate with the Broadcom VMware Cloud Foundation API?

Authentication is primarily performed using a Bearer token passed in the Authorization header. Specifically, the header must be formatted as 'Authorization: Bearer <access_token>'.

1. Get your credentials

To obtain credentials for the VMware Cloud Foundation (VCF) API, you must authenticate using a valid user account with either ADMIN or OPERATOR privileges. You obtain an access token by sending a POST request to the /v1/tokens endpoint with your username and password (or API key for service users) in the request body. The API returns a pair containing an 'accessToken' and a 'refreshToken'; the 'accessToken' is then used as a Bearer token in the 'Authorization' header for all subsequent API requests. Note: As of VCF 9.1, OAuth token support is available via the VCF Identity Broker (VIDB) for more secure, long-lived access.

2. Add them to .dlt/secrets.toml

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[sources.broadcom_vmware_cloud_foundation_source]
username = "your_vcf_username"
password = "your_vcf_password"
api_host = "sfo-vcf01.yourdomain.io"

dlt reads this file automatically at runtime. With the harness, the setup-secrets skill prompts you for the values and never handles the raw credential in chat. For production, see setting up credentials with dlt.

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What Broadcom VMware Cloud Foundation data can I load into DuckDB?

These are the Broadcom VMware Cloud Foundation endpoints dlt can load into DuckDB:

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How do I load only new Broadcom VMware Cloud Foundation records?

The Broadcom VMware Cloud Foundation API reference does not document a timestamp or sequence field for these endpoints, so there is nothing to advertise here as verified. Pick a field from the endpoints table above that increases with every write, then set it as the cursor_path.

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{"name": "clusters", "endpoint": {
    "path": "v1/clusters",
    # Replace with a field that increases on every write.
    "incremental": {"cursor_path": "REPLACE_ME", "initial_value": "2024-01-01T00:00:00Z"},
}}

On the first run dlt loads everything from initial_value; on every run after that it requests only what changed and appends with write_disposition="merge" if you set a primary key. See incremental loading.

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What does the generated Broadcom VMware Cloud Foundation pipeline look like?

A standard dlt REST API pipeline — the same code you would write by hand, loading /v1/tokens and /v1/credentials from the Broadcom VMware Cloud Foundation API into DuckDB:

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import dlt
from dlt.sources.rest_api import RESTAPIConfig, rest_api_resources

@dlt.source
def broadcom_vmware_cloud_foundation_source(token=dlt.secrets.value):
    config: RESTAPIConfig = {
        "client": {
            "base_url": "https://<vcf_host>/api",
            "auth": {"type": "bearer", "token": token},
        },
        "resources": [
            {"name": "clusters", "endpoint": {"path": "v1/clusters", "data_selector": "content"}},
            {"name": "network_entities", "endpoint": {"path": "api/ni/entities/vms", "data_selector": "results"}}
        ],
    }
    yield from rest_api_resources(config)


def load_broadcom_vmware_cloud_foundation_to_duckdb() -> None:
    pipeline = dlt.pipeline(
        pipeline_name="broadcom_vmware_cloud_foundation_pipeline",
        destination="duckdb",
        dataset_name="broadcom_vmware_cloud_foundation_data",
    )
    load_info = pipeline.run(broadcom_vmware_cloud_foundation_source())
    print(load_info)


if __name__ == "__main__":
    load_broadcom_vmware_cloud_foundation_to_duckdb()

Run it with python broadcom_vmware_cloud_foundation_pipeline.py. The agent iterates on this until it loads cleanly — you review and approve, rather than write it from scratch.

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How do I query Broadcom VMware Cloud Foundation data in DuckDB?

dlt creates one table per resource. Query the loaded data with Python or SQL — or ask your agent to, through the MCP server's execute_sql_query tool.

Python (pandas DataFrame):

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import dlt

data = dlt.pipeline("broadcom_vmware_cloud_foundation_pipeline").dataset()
df = data.clusters.df()
print(df.head())

SQL:

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SELECT * FROM broadcom_vmware_cloud_foundation_data.clusters LIMIT 10;

See querying your data with dataset and exploring it in marimo notebooks.

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How do I deploy the Broadcom VMware Cloud Foundation to DuckDB pipeline in production?

The pipeline runs locally, which is ideal for prototyping and one-off analysis. When you need it on a schedule, monitored on every load, and shared with your team, deploy the same dlt code on the dltHub platform — no infrastructure to maintain. The prompt above already ends with "run it on dltHub", so your agent can take it there directly.

• Deploy & schedule — run the pipeline as a managed job with automatic retries.
• Monitor — observable job queues, alerting, and load metrics for every run.
• Transform — promote raw Broadcom VMware Cloud Foundation loads into governed, documented models.
• Visualize & share — explore data in notebooks and publish live dashboards instead of static screenshots.

Book a demo →

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What other destinations can I load Broadcom VMware Cloud Foundation data to?

dlt loads into any of these — only the destination argument changes:

Set dlt.pipeline(destination="snowflake") and add credentials in .dlt/secrets.toml. On the dltHub platform the same pipeline runs against a managed Iceberg lakehouse. See the full destinations list.

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Next steps

• Ready for production? Book a demo of the dltHub platform →
• dlt LLM-native workflow docs
• REST API source reference
• Join the dlt community on Slack