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---
title: Run the Mode Connector Externally
slug: /connectors/dashboard/mode/yaml
---
{% connectorDetailsHeader
name="Mode"
stage="PROD"
platform="OpenMetadata"
availableFeatures=["Dashboards", "Charts", "Lineage"]
unavailableFeatures=["Owners", "Tags", "Datamodels", "Projects"]
/ %}
In this section, we provide guides and references to use the Mode connector.
Configure and schedule Mode metadata and profiler workflows from the OpenMetadata UI:
- [Requirements ](#requirements )
- [Metadata Ingestion ](#metadata-ingestion )
{% partial file="/v1.4/connectors/external-ingestion-deployment.md" /%}
## Requirements
OpenMetadata relies on Mode's API, which is exclusive to members of the Mode Business Workspace. This means that only resources that belong to a Mode Business Workspace can be accessed via the API.
### Python Requirements
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{% partial file="/v1.4/connectors/python-requirements.md" /%}
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To run the Mode ingestion, you will need to install:
```bash
pip3 install "openmetadata-ingestion[mode]"
```
## Metadata Ingestion
All connectors are defined as JSON Schemas.
[Here ](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/entity/services/connections/dashboard/modeConnection.json )
you can find the structure to create a connection to Mode.
In order to create and run a Metadata Ingestion workflow, we will follow
the steps to create a YAML configuration able to connect to the source,
process the Entities if needed, and reach the OpenMetadata server.
The workflow is modeled around the following
[JSON Schema ](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/metadataIngestion/workflow.json )
### 1. Define the YAML Config
This is a sample config for Mode:
{% codePreview %}
{% codeInfoContainer %}
#### Source Configuration - Service Connection
{% codeInfo srNumber=1 %}
**hostPort**: Host and Port Mode Dashboard.
The hostPort parameter specifies the host and port of the Mode server. This should be specified as a string in the format `https://app.mode.com` .
{% /codeInfo %}
{% codeInfo srNumber=2 %}
**accessToken**: Access Token for Mode Dashboard.
Get the Access Token by following below mentioned steps:
- Navigate to your Mode homepage.
- Click on your name in the upper left corner and click My Account.
- Click on API Tokens on the left side.
- To generate a new API token and password, enter a token name and click `Create token` .
- Copy the generated access token and password.
For detailed information visit [here ](https://mode.com/developer/api-reference/introduction/ ).
{% /codeInfo %}
{% codeInfo srNumber=3 %}
**accessTokenPassword**: Access Token Password for Mode Dashboard.
Copy the access token password from the step above where a new token is generated.
For detailed information visit [here ](https://mode.com/developer/api-reference/introduction/ ).
{% /codeInfo %}
{% codeInfo srNumber=4 %}
**workspaceName**: Mode Workspace Name.
Name of the mode workspace from where the metadata is to be fetched.
{% /codeInfo %}
{% partial file="/v1.4/connectors/yaml/dashboard/source-config-def.md" /%}
{% partial file="/v1.4/connectors/yaml/ingestion-sink-def.md" /%}
{% partial file="/v1.4/connectors/yaml/workflow-config-def.md" /%}
{% /codeInfoContainer %}
{% codeBlock fileName="filename.yaml" %}
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```yaml {% isCodeBlock=true %}
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source:
type: mode
serviceName: local_mode
serviceConnection:
config:
type: Mode
```
```yaml {% srNumber=1 %}
hostPort: https://app.mode.com
```
```yaml {% srNumber=2 %}
access_token: access_token
```
```yaml {% srNumber=3 %}
access_token_password: access_token_password
```
```yaml {% srNumber=4 %}
workspace_name: workspace_name
```
{% partial file="/v1.4/connectors/yaml/dashboard/source-config.md" /%}
{% partial file="/v1.4/connectors/yaml/ingestion-sink.md" /%}
{% partial file="/v1.4/connectors/yaml/workflow-config.md" /%}
{% /codeBlock %}
{% /codePreview %}
{% partial file="/v1.4/connectors/yaml/ingestion-cli.md" /%}