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Apache Spark MCP Server by CData

Apache Spark MCP Server by CData

Public
CDataSoftware/apache-spark-mcp-server-by-cdata

Enables read-only access to live Apache Spark data via Model Context Protocol, allowing LLMs to query SQL-modeled data using natural language without requiring SQL knowledge.

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May 29, 2025
Updated Jun 4, 2025

Supercharge Your AI with Apache Spark MCP Server by CData

MCP Server

Unlock the full potential of Apache Spark MCP Server by CData through LangDB's AI Gateway. Get enterprise-grade security, analytics, and seamless integration with zero configuration.

Unified API Access
Complete Tracing
Instant Setup
Get Started Now

Free tier available • No credit card required

Instant Setup
99.9% Uptime
10,000+Monthly Requests
Configuration Requirements
none
Configure authentication and required variables to access this MCP server
Required Environment Variables
JdbcUrl
Optional
string

The JDBC connection string to use with the CData JDBC Driver to connect to your data

DriverPath
Optional
string

The full path to the JAR file for your JDBC driver

ServerVersion
Optional
string

A version for your server

Default: 1.0
Prefix
Optional
string

A prefix to be used for the tools exposed

Default: sparksql
Tables
Optional
string

Leave blank to access all data, otherwise you can explicitly declare the tables you wish to create access for

DriverClass
Optional
string

The name of the JDBC Driver Class

Default: cdata.jdbc.sparksql.SparkSQLDriver
ServerName
Optional
string

A name for your server

Default: CDataSparkSQL

Security Notice

Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.

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