Cvent
Enables large language models and AI clients to query live Cvent data through a Model Context Protocol (MCP) interface.
About
This tool provides a read-only Model Context Protocol (MCP) server designed to bridge the gap between large language models (LLMs) like Claude Desktop and live Cvent data. It wraps the CData JDBC Driver for Cvent, exposing Cvent's complex data as relational SQL models. This allows AI clients to retrieve real-time information by asking natural language questions, eliminating the need for direct SQL knowledge. The server facilitates seamless integration, enabling AI-powered data retrieval and analysis from Cvent without complex setup.
Key Features
- Wraps CData JDBC Drivers to expose Cvent data as relational SQL models
- Provides tools for discovering available tables and columns in Cvent
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- Connects LLMs and AI clients to live Cvent data via MCP
- Supports direct execution of SQL SELECT queries against Cvent
- Translates natural language queries into SQL for Cvent data retrieval
Use Cases
- Automating data retrieval from Cvent for reporting and insights via LLMs
- Integrating Cvent data into AI-powered dashboards and analytical tools
- Querying Cvent event and attendee data using natural language with AI assistants
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