LinkedIn Ads
Enables large language models to query live LinkedIn Ads data using natural language, leveraging CData JDBC drivers.
About
This Model Context Protocol (MCP) Server bridges the gap between large language models (LLMs) like Claude Desktop and live LinkedIn Ads data. By wrapping the CData JDBC Driver for LinkedIn Ads, it exposes LinkedIn Ads information as relational SQL models through a simple MCP interface. This innovative approach allows LLMs to retrieve real-time data by processing natural language questions, eliminating the need for complex SQL queries, and empowering AI clients to interact directly with advertising data.
Key Features
- Enables natural language querying of data (no SQL required for LLMs)
- Connects LLMs to live LinkedIn Ads data
- Leverages CData JDBC Driver for robust data connectivity
- Exposes LinkedIn Ads data as relational SQL models
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- Provides a read-only Model Context Protocol (MCP) interface
Use Cases
- Integrate LinkedIn Ads data querying capabilities into AI clients like Claude Desktop
- Empower AI agents to retrieve specific LinkedIn Ads metrics without direct SQL interaction
- Allow natural language access and analysis of LinkedIn Ads campaigns and performance
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