Enables large language models to query live Greenhouse data via a Model Context Protocol (MCP) interface.
Sponsored
The CData Greenhouse Model Context Protocol (MCP) Server allows large language models (LLMs) like Claude Desktop to interact with live Greenhouse data. It achieves this by wrapping the CData JDBC Driver for Greenhouse, which exposes Greenhouse data as relational SQL models. This server then makes the data available through a simple MCP interface, enabling LLMs to retrieve live information by asking natural language questions, eliminating the need for manual SQL queries. This specific project builds a read-only MCP server, with a full read/write/update/delete version available from CData.
Key Features
01Eliminates the need for LLMs to write SQL queries directly
020 GitHub stars
03Enables natural language querying of Greenhouse data by AI clients
04Leverages CData JDBC Drivers to expose data as relational SQL models
05Provides read-only access to Greenhouse data
06Offers a Model Context Protocol (MCP) interface for LLM integration
Use Cases
01Enabling natural language questions to retrieve live information from Greenhouse
02Developing LLM-powered applications that interact with Greenhouse data without direct SQL knowledge
03Connecting AI clients like Claude Desktop to live Greenhouse data
