# Cyera DataPort

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**Early Access** — Reach out to your Natoma representative for access.
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**Type:** Community

**Source Type:** Repository

**Description:** Cyera DataPort MCP server provides AI assistants with read-only access to Cyera DataPort data in your Snowflake account. It enables querying data classifications, sensitivity labels, and lineage to support data-governance workflows.

**Configuration Parameters:**

* **Snowflake Account** \* - Snowflake account identifier (e.g. `xy12345.us-east-1`).
* **Snowflake User** \* - Snowflake service user (e.g. `DATAPORT_MCP_USER`).
* **Snowflake RSA Private Key** \* (sensitive) - PEM-encoded private key contents for key-pair auth.
* **Snowflake RSA Key Passphrase** (sensitive) (optional) - Passphrase for the RSA key (optional).
* **Snowflake Role** (optional) - Snowflake role. Default: `DATAPORT_MCP_READONLY`.
* **Snowflake Database** (optional) - Snowflake database. Default: `CYERA_DATAPORT`.
* **Snowflake Warehouse** (optional) - Snowflake warehouse. Default: `WH_LARGE`.
* **Snowflake Schema** (optional) - Snowflake schema. Default: `product`.
* **AWS Access Key ID** \* (sensitive) - AWS access key for the DataPort context S3 bucket.
* **AWS Secret Access Key** \* (sensitive) - AWS secret access key paired with the access key ID.
* **S3 Bucket Name** (optional) - DataPort context bucket. Default: `edp-mcp`.

**Setup Steps:**

1. In Snowflake, create or identify a service user (e.g. `DATAPORT_MCP_USER`) and grant it the `DATAPORT_MCP_READONLY` role (or a custom read-only role over the DataPort schema).
2. Generate an RSA key pair, assign the public key to the user, and have the PEM-encoded private key ready (with passphrase if encrypted).
3. In AWS IAM, create or use a service user with `s3:GetObject` and `s3:ListBucket` on the DataPort context bucket. Generate an Access Key ID and Secret Access Key.
4. When creating the connection in Natoma, enter the Snowflake account/user/key fields and AWS access key fields, then save.


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