Act-On
Enables large language models to access and query live Act-On data using natural language, leveraging CData JDBC Drivers.
About
This server provides a bridge between Act-On marketing automation data and large language models (LLMs) like Claude Desktop. By wrapping the CData JDBC Driver for Act-On, it transforms Act-On's underlying data into relational SQL models accessible via a simple Model Context Protocol (MCP) interface. This empowers LLMs to retrieve live information from Act-On by interpreting natural language questions, eliminating the need for complex SQL queries by the end-user.
Key Features
- Connects LLMs to live Act-On data
- Exposes Act-On data as relational SQL models
- Enables natural language querying for LLMs without direct SQL
- Provides tools for schema discovery (get_tables, get_columns) and data retrieval (run_query)
- Utilizes CData JDBC Drivers for robust data connectivity
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Use Cases
- Enabling natural language questions to retrieve Act-On marketing data
- Integrating Act-On data access with AI clients like Claude Desktop
- Analyzing Act-On data through LLMs without SQL expertise