Elastic Microsoft Teams connector reference

The Microsoft Teams connector is written in Python using the Elastic connector framework.

View the source code for this connector (branch main, compatible with Elastic 9.0).

Important

As of Elastic 9.0, managed connectors on Elastic Cloud Hosted are no longer available. All connectors must be self-managed.

Self-managed connector reference

Availability and prerequisites

This connector is available as a self-managed connector. To use this connector, satisfy all self-managed connector prerequisites.

Note

This connector is in technical preview and is subject to change. The design and code is less mature than official GA features and is being provided as-is with no warranties. Technical preview features are not subject to the support SLA of official GA features.

Create a Microsoft Teams connector

Use the UI

To create a new Microsoft Teams connector:

In the Kibana UI, navigate to the Search → Content → Connectors page from the main menu, or use the global search field.
Follow the instructions to create a new Microsoft Teams self-managed connector.

Use the API

You can use the Elasticsearch Create connector API to create a new self-managed Microsoft Teams self-managed connector.

For example:

		 PUT _connector/my-microsoft_teams-connector {
  "index_name": "my-elasticsearch-index",
  "name": "Content synced from Microsoft Teams",
  "service_type": "microsoft_teams"
}

	

Note

The user needs the cluster privileges manage_api_key, manage_connector and write_connector_secrets to generate API keys programmatically.

To create an API key for the connector:

Run the following command, replacing values where indicated. Note the encoded return values from the response:

		 POST /_security/api_key {
  "name": "connector_name-connector-api-key",
  "role_descriptors": {
    "connector_name-connector-role": {
      "cluster": [
        "monitor",
        "manage_connector"
      ],
      "indices": [
        {
          "names": [
            "index_name",
            ".search-acl-filter-index_name",
            ".elastic-connectors*"
          ],
          "privileges": [
            "all"
          ],
          "allow_restricted_indices": false
        }
      ]
    }
  }
}

	

Update your config.yml file with the API key encoded value.

Refer to the Elasticsearch API documentation for details of all available Connector APIs.

Usage

To use this connector as a self-managed connector, use the Microsoft Teams tile from the connectors list Customized connector workflow.

For additional operations, see Connectors UI in Kibana.

Connecting to Microsoft Teams

To connect to Microsoft Teams you need to create an Azure Active Directory application and service principal that can access resources. Follow these steps:

Go to the Azure portal and sign in with your Azure account.
Navigate to the Azure Active Directory service.
Select App registrations from the left-hand menu.
Click on the New registration button to register a new application.
Provide a name for your app, and optionally select the supported account types (e.g., single tenant, multi-tenant).
Click on the Register button to create the app registration.
After the registration is complete, you will be redirected to the app’s overview page. Take note of the Application (client) ID value, as you’ll need it later.
Scroll down to the API permissions section and click on the "Add a permission" button.
In the "Request API permissions pane, select "Microsoft Graph" as the API.
Select the following permissions:
- TeamMember.Read.All (Delegated)
- Team.ReadBasic.All (Delegated)
- TeamsTab.Read.All (Delegated)
- Group.Read.All (Delegated)
- ChannelMessage.Read.All (Delegated)
- Chat.Read (Delegated) & Chat.Read.All (Application)
- Chat.ReadBasic (Delegated) & Chat.ReadBasic.All (Application)
- Files.Read.All (Delegated and Application)
- Calendars.Read (Delegated and Application)
Click on the Add permissions button to add the selected permissions to your app.
Click on the Grant admin consent button to grant the required permissions to the app. This step requires administrative privileges. If you are not an admin, you need to request the admin to grant consent via their Azure Portal.
Under the "Certificates & Secrets" tab, go to Client Secrets. Generate a new client secret and keep a note of the string under the Value column.

After completion, use the following configuration parameters to configure the connector.

Configuration

The following configuration fields are required:

client_id (required)

Unique identifier for your Azure Application, found on the app’s overview page. Example:

ab123453-12a2-100a-1123-93fd09d67394

secret_value (required)

String value that the application uses to prove its identity when requesting a token, available under the Certificates & Secrets tab of your Azure application menu. Example:

eyav1~12aBadIg6SL-STDfg102eBfCGkbKBq_Ddyu

tenant_id (required)

Unique identifier for your Azure Active Directory instance, found on the app’s overview page. Example:

123a1b23-12a3-45b6-7c8d-fc931cfb448d

username (required)

Username for your Azure Application. Example:

dummy@3hmr2@onmicrosoft.com

password (required)

Password for your Azure Application. Example:

changeme

Deployment using Docker

You can deploy the Microsoft Teams connector as a self-managed connector using Docker. Follow these instructions.

Download the sample configuration file. You can either download it manually or run the following command:

		curl https://raw.githubusercontent.com/elastic/connectors/main/config.yml.example --output ~/connectors-config/config.yml

	

Remember to update the --output argument value if your directory name is different, or you want to use a different config file name.

Update the configuration file with the following settings to match your environment:

elasticsearch.host
elasticsearch.api_key
connectors

If you’re running the connector service against a Dockerized version of Elasticsearch and Kibana, your config file will look like this:

		# When connecting to your cloud deployment you should edit the host value
elasticsearch.host: http://host.docker.internal:9200
elasticsearch.api_key: <ELASTICSEARCH_API_KEY>

connectors:
  -
    connector_id: <CONNECTOR_ID_FROM_KIBANA>
    service_type: microsoft_teams
    api_key: <CONNECTOR_API_KEY_FROM_KIBANA>1

	

Optional. If not provided, the connector will use the elasticsearch.api_key instead

Using the elasticsearch.api_key is the recommended authentication method. However, you can also use elasticsearch.username and elasticsearch.password to authenticate with your Elasticsearch instance.

Note: You can change other default configurations by simply uncommenting specific settings in the configuration file and modifying their values.

Run the Docker image with the Connector Service using the following command:

		docker run \
-v ~/connectors-config:/config \
--network "elastic" \
--tty \
--rm \
docker.elastic.co/integrations/elastic-connectors:9.0.0-beta1.0 \
/app/bin/elastic-ingest \
-c /config/config.yml

	

Refer to DOCKER.md in the elastic/connectors repo for more details.

Find all available Docker images in the official registry.

Tip

We also have a quickstart self-managed option using Docker Compose, so you can spin up all required services at once: Elasticsearch, Kibana, and the connectors service. Refer to this README in the elastic/connectors repo for more information.

Content Extraction

Refer to Content extraction.

Documents and syncs

The connector syncs the following objects and entities:

USER_CHATS_MESSAGE
USER_CHAT_TABS
USER_CHAT_ATTACHMENT
USER_CHAT_MEETING_RECORDING
USER_MEETING
TEAMS
TEAM_CHANNEL
CHANNEL_TAB
CHANNEL_MESSAGE
CHANNEL_MEETING
CHANNEL_ATTACHMENT
CALENDAR_EVENTS

Note

Files bigger than 10 MB won’t be extracted.
Permissions are not synced. All documents indexed to an Elastic deployment will be visible to all users with access to that Elastic Deployment.

$ make ftest NAME=microsoft_teams

For faster tests, add the DATA_SIZE=small flag:

make ftest NAME=microsoft_teams DATA_SIZE=small

Known issues

Messages in one-on-one chats for Chat with Self users are not fetched via Graph APIs. Therefore, these messages won’t be indexed into Elasticsearch.

Refer to Known issues for a list of known issues for all connectors.

Troubleshooting

See Troubleshooting.

Security

See Security.

Elastic Microsoft Teams connector reference

Self-managed connector reference

Availability and prerequisites

Create a Microsoft Teams connector

Use the UI

Use the API

Usage

Connecting to Microsoft Teams

Configuration

Deployment using Docker

Content Extraction

Documents and syncs

Sync types

Sync rules

Advanced Sync Rules

End-to-end Testing

Known issues

Troubleshooting

Security