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wren-connection-info

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Atualizado7 de abril de 2026 às 06:01

Reference guide for Wren Engine connection info — explains required fields for all 18 supported data sources (PostgreSQL, MySQL, BigQuery, Snowflake, ClickHouse, Trino, DuckDB, Databricks, Spark, Athena, Redshift, Oracle, SQL Server, Apache Doris, S3, GCS, MinIO, local files). Covers sensitive field handling, Docker host hints, and BigQuery credential encoding. Use when the user asks how to configure a data source connection or what fields to fill in.

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Desenvolvedores de softwareInformática e Matemática·SOC 15-1252

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SKILL.md

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name	wren-connection-info
description	Reference guide for Wren Engine connection info — explains required fields for all 18 supported data sources (PostgreSQL, MySQL, BigQuery, Snowflake, ClickHouse, Trino, DuckDB, Databricks, Spark, Athena, Redshift, Oracle, SQL Server, Apache Doris, S3, GCS, MinIO, local files). Covers sensitive field handling, Docker host hints, and BigQuery credential encoding. Use when the user asks how to configure a data source connection or what fields to fill in.
license	Apache-2.0
metadata	{"author":"wren-engine","version":"1.5"}

Wren Connection Info Reference

Connection info can only be configured through the MCP server Web UI at http://localhost:9001. Do not attempt to set it programmatically. Always direct the user to the Web UI.

Supported data sources

Value	Database	Fields reference
`POSTGRES`	PostgreSQL	databases.md
`MYSQL`	MySQL / MariaDB	databases.md
`MSSQL`	SQL Server	databases.md
`CLICKHOUSE`	ClickHouse	databases.md
`ORACLE`	Oracle	databases.md
`DORIS`	Apache Doris	databases.md
`REDSHIFT`	Amazon Redshift	databases.md
`TRINO`	Trino	databases.md
`BIGQUERY`	Google BigQuery	databases.md
`SNOWFLAKE`	Snowflake	databases.md
`DUCKDB`	DuckDB	databases.md
`ATHENA`	AWS Athena	databases.md
`DATABRICKS`	Databricks	databases.md
`SPARK`	Apache Spark	databases.md
`S3_FILE`	Amazon S3	file-sources.md
`GCS_FILE`	Google Cloud Storage	file-sources.md
`MINIO_FILE`	MinIO	file-sources.md
`LOCAL_FILE`	Local files	file-sources.md

Read the linked reference file for the user's data source to get required fields, default ports, and setup notes.

Common patterns

Most database connectors need: host, port, user, password, database.

Exceptions:

BigQuery — uses project_id, dataset_id, credentials (base64-encoded). See databases.md for encoding instructions.
Snowflake — uses account instead of host, plus schema.
Trino — needs catalog and schema instead of database.
Databricks — uses serverHostname, httpPath, accessToken (or service principal with clientId, clientSecret).
Spark — only host and port (Spark Connect protocol, no auth fields).
File sources — use url, format, plus bucket/credentials. See file-sources.md.

Docker host hint

If the database runs on the host machine and Wren Engine runs inside Docker, localhost cannot reach the host. Use host.docker.internal instead:

Original	Inside Docker
`localhost`	`host.docker.internal`
`127.0.0.1`	`host.docker.internal`
Cloud/remote hostname	No change needed

Sensitive fields

Never log, display, or pass sensitive values through the AI agent unnecessarily.

Connector	Sensitive fields
Postgres / MySQL / MSSQL / ClickHouse / Oracle / Doris / Redshift	`password`
BigQuery	`credentials`
Snowflake	`password`
Athena	`aws_access_key_id`, `aws_secret_access_key`
Databricks (token)	`accessToken`
Databricks (service principal)	`clientId`, `clientSecret`
S3 / MinIO	`access_key`, `secret_key`
GCS	`key_id`, `secret_key`, `credentials`
Trino / Spark / Local files	(none)

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name	wren-connection-info
description	Reference guide for Wren Engine connection info — explains required fields for all 18 supported data sources (PostgreSQL, MySQL, BigQuery, Snowflake, ClickHouse, Trino, DuckDB, Databricks, Spark, Athena, Redshift, Oracle, SQL Server, Apache Doris, S3, GCS, MinIO, local files). Covers sensitive field handling, Docker host hints, and BigQuery credential encoding. Use when the user asks how to configure a data source connection or what fields to fill in.
license	Apache-2.0
metadata	{"author":"wren-engine","version":"1.5"}

Wren Connection Info Reference

Connection info can only be configured through the MCP server Web UI at http://localhost:9001. Do not attempt to set it programmatically. Always direct the user to the Web UI.

Supported data sources

Value	Database	Fields reference
`POSTGRES`	PostgreSQL	databases.md
`MYSQL`	MySQL / MariaDB	databases.md
`MSSQL`	SQL Server	databases.md
`CLICKHOUSE`	ClickHouse	databases.md
`ORACLE`	Oracle	databases.md
`DORIS`	Apache Doris	databases.md
`REDSHIFT`	Amazon Redshift	databases.md
`TRINO`	Trino	databases.md
`BIGQUERY`	Google BigQuery	databases.md
`SNOWFLAKE`	Snowflake	databases.md
`DUCKDB`	DuckDB	databases.md
`ATHENA`	AWS Athena	databases.md
`DATABRICKS`	Databricks	databases.md
`SPARK`	Apache Spark	databases.md
`S3_FILE`	Amazon S3	file-sources.md
`GCS_FILE`	Google Cloud Storage	file-sources.md
`MINIO_FILE`	MinIO	file-sources.md
`LOCAL_FILE`	Local files	file-sources.md

Read the linked reference file for the user's data source to get required fields, default ports, and setup notes.

Common patterns

Most database connectors need: host, port, user, password, database.

Exceptions:

BigQuery — uses project_id, dataset_id, credentials (base64-encoded). See databases.md for encoding instructions.
Snowflake — uses account instead of host, plus schema.
Trino — needs catalog and schema instead of database.
Databricks — uses serverHostname, httpPath, accessToken (or service principal with clientId, clientSecret).
Spark — only host and port (Spark Connect protocol, no auth fields).
File sources — use url, format, plus bucket/credentials. See file-sources.md.

Docker host hint

If the database runs on the host machine and Wren Engine runs inside Docker, localhost cannot reach the host. Use host.docker.internal instead:

Original	Inside Docker
`localhost`	`host.docker.internal`
`127.0.0.1`	`host.docker.internal`
Cloud/remote hostname	No change needed

Sensitive fields

Never log, display, or pass sensitive values through the AI agent unnecessarily.

Connector	Sensitive fields
Postgres / MySQL / MSSQL / ClickHouse / Oracle / Doris / Redshift	`password`
BigQuery	`credentials`
Snowflake	`password`
Athena	`aws_access_key_id`, `aws_secret_access_key`
Databricks (token)	`accessToken`
Databricks (service principal)	`clientId`, `clientSecret`
S3 / MinIO	`access_key`, `secret_key`
GCS	`key_id`, `secret_key`, `credentials`
Trino / Spark / Local files	(none)