UBOS Asset Marketplace: Facebook Ads MCP Server for Claude Desktop

In today’s data-driven world, accessing and leveraging real-time information is paramount for making informed decisions. For businesses heavily invested in Facebook Ads, the ability to seamlessly integrate this data with Large Language Models (LLMs) like Claude Desktop can unlock unprecedented insights and streamline workflows. UBOS is proud to present the Facebook Ads MCP (Model Context Protocol) Server, designed to bridge the gap between your Facebook Ads data and the power of AI.

What is an MCP Server?

Before diving into the specifics of the Facebook Ads MCP Server, let’s clarify what an MCP Server is and why it’s crucial in the context of AI and data integration. MCP stands for Model Context Protocol. MCP is an open protocol that standardizes how applications provide context to LLMs. MCP servers act as a bridge, enabling AI models to access and interact with external data sources and tools. They provide a standardized interface, allowing LLMs to query and manipulate data without needing to understand the complexities of underlying databases or APIs.

Think of it as a universal translator for data. Instead of an LLM needing specific code to access each data source, the MCP server handles the translation, allowing the LLM to focus on understanding and analyzing the information.

The UBOS Advantage: Democratizing AI for Business

UBOS is a full-stack AI Agent Development Platform focused on bringing the power of AI Agents to every business department. Our platform empowers you to orchestrate AI Agents, seamlessly connect them with your enterprise data, and build custom AI Agents tailored to your specific needs, leveraging your preferred LLM model and Multi-Agent Systems. The Facebook Ads MCP Server perfectly exemplifies UBOS’s commitment to democratizing AI, making it accessible and actionable for businesses of all sizes.

Introducing the Facebook Ads MCP Server

The Facebook Ads MCP Server is a specialized solution that allows you to connect to your Facebook Ads data from Claude Desktop (and other compatible LLMs) through CData JDBC Drivers. This integration unlocks the potential to ask natural language questions about your Facebook Ads performance and receive insightful answers directly from the AI, without writing a single line of SQL.

Key Benefits:

• Seamless Integration: Effortlessly connect your Facebook Ads data to Claude Desktop using the CData JDBC Driver.
• Natural Language Querying: Ask questions about your Facebook Ads data in plain English and receive accurate, insightful answers.
• Real-Time Data Access: Access live Facebook Ads data, ensuring your insights are always up-to-date.
• Simplified Workflow: Eliminate the need for complex SQL queries and manual data extraction.
• Enhanced Productivity: Empower your team to quickly analyze data and make data-driven decisions.

Use Cases:

• Performance Analysis: Ask questions like “What is the average cost per click for my latest campaign?” or “Which ad creative is driving the most conversions?”
• Trend Identification: Identify emerging trends in your Facebook Ads data and proactively adjust your strategies.
• Budget Optimization: Analyze campaign performance to optimize your budget allocation and maximize ROI.
• Audience Segmentation: Gain deeper insights into your target audience and tailor your ad messaging accordingly.
• Report Generation: Automate the creation of reports on your Facebook Ads performance.

Key Features and Functionality

The Facebook Ads MCP Server, built upon the robust foundation of CData’s technology, offers a range of features designed to streamline data access and integration:

• CData JDBC Driver for Facebook Ads: The core component that establishes a connection to your Facebook Ads account, exposing your data as relational SQL models.
• Read-Only Access (Beta Read/Write Available): The server provides read-only access to your Facebook Ads data by default, ensuring data integrity. However, UBOS also offers a free beta version with full read, write, update, delete, and action capabilities for more advanced use cases, available at https://www.cdata.com/solutions/mcp.
• MCP Interface: A standardized interface that allows LLMs like Claude Desktop to interact with the Facebook Ads data without requiring specific SQL knowledge.
• Tool-Based Interaction: The server exposes a set of tools that allow the AI client to retrieve data, including:
  • {servername}_get_tables: Retrieves a list of available tables in the Facebook Ads data source.
  • {servername}_get_columns: Retrieves a list of columns for a specific table.
  • {servername}_run_query: Executes a custom SQL SELECT query.
• JSON-RPC Support: For advanced users, the server supports JSON-RPC 2.0, enabling programmatic access and integration with other systems.

Getting Started with the Facebook Ads MCP Server

Setting up the Facebook Ads MCP Server is a straightforward process. Here’s a step-by-step guide:

1. Clone the Repository: bash git clone https://github.com/cdatasoftware/facebook-ads-mcp-server-by-cdata.git cd facebook-ads-mcp-server-by-cdata

2. Build the Server: bash mvn clean install

   This command generates the CDataMCP-jar-with-dependencies.jar file.

3. Download and Install the CData JDBC Driver for Facebook Ads: Download the driver from https://www.cdata.com/drivers/facebookads/download/jdbc.

4. License the CData JDBC Driver:

   • Navigate to the lib folder in the installation directory.
   • Run the command java -jar cdata.jdbc.facebookads.jar --license.
   • Enter your name, email, and “TRIAL” (or your license key).

5. Configure Your Connection to Facebook Ads:

   • Run the command java -jar cdata.jdbc.facebookads.jar to open the Connection String utility.
   • Configure the connection string and click “Test Connection”.
   • Copy the connection string for use later.

6. Create a .prp File: Create a file (e.g., facebook-ads.prp) with the following properties: env Prefix=facebookads ServerName=CDataFacebookAds ServerVersion=1.0 DriverPath=PATHTOcdata.jdbc.facebookads.jar DriverClass=cdata.jdbc.facebookads.FacebookAdsDriver JdbcUrl=jdbc:facebookads:InitiateOAuth=GETANDREFRESH; Tables=

Integrating with Claude Desktop

To use the Facebook Ads MCP Server with Claude Desktop, you need to configure Claude Desktop to recognize the new server.

1. Create or Modify the claude_desktop_config.json File:

   • Windows:

     { “mcpServers”: { “{classname_dash}”: { “command”: “PATHTOjava.exe”, “args”: [ “-jar”, “PATHTOCDataMCP-jar-with-dependencies.jar”, “PATHTOfacebook-ads.prp” ] } } }

   • Linux/Mac:

     { “mcpServers”: { “{classname_dash}”: { “command”: “/PATH/TO/java”, “args”: [ “-jar”, “/PATH/TO/CDataMCP-jar-with-dependencies.jar”, “/PATH/TO/facebook-ads.prp” ] } } }

2. Copy the Config File (if needed):

   • Windows: bash cp C:PATHTOclaude_desktop_config.json %APPDATA%Claudeclaude_desktop_config.json

   • Linux/Mac: bash cp /PATH/TO/claude_desktop_config.json /Users/{user}/Library/Application Support/Claude/claude_desktop_config.json’

3. Run or Refresh Claude Desktop:

   • You may need to fully exit and re-open Claude Desktop for the changes to take effect.

Running the Server Independently

For testing or debugging purposes, you can run the MCP Server independently:

bash java -jar /PATH/TO/CDataMCP-jar-with-dependencies.jar /PATH/TO/Salesforce.prp

Note: The server uses stdio and can only be used with clients running on the same machine.

Advanced Usage and JSON-RPC Examples

For users who want to script requests to the MCP Server directly, the following JSON-RPC examples are provided:

• facebook_ads_get_tables

  { “jsonrpc”: “2.0”, “id”: 1, “method”: “tools/call”, “params”: { “name”: “facebook_ads_get_tables”, “arguments”: {} } }

• facebook_ads_get_columns

  { “jsonrpc”: “2.0”, “id”: 2, “method”: “tools/call”, “params”: { “name”: “facebook_ads_get_columns”, “arguments”: { “table”: “Account” } } }

• facebook_ads_run_query

  { “jsonrpc”: “2.0”, “id”: 3, “method”: “tools/call”, “params”: { “name”: “facebook_ads_run_query”, “arguments”: { “sql”: “SELECT * FROM [Account] WHERE [IsDeleted] = true” } } }

Troubleshooting and Support

If you encounter any issues, here are some troubleshooting tips:

• Server Not Visible in Claude Desktop: Ensure you have fully quit and restarted Claude Desktop.
• Data Retrieval Issues: Double-check your connection configuration using the Connection String builder and ensure the connection string is correctly entered in the .prp file.
• Connection Problems: Contact the CData Support Team at https://www.cdata.com/support/submit.aspx.
• MCP Server Issues or Feedback: Join the CData Community at https://community.cdata.com.

License

The Facebook Ads MCP Server is licensed under the MIT License, granting you the freedom to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. Refer to the LICENSE file in the project repository for more details.

UBOS: Your Partner in AI Agent Development

UBOS’s Facebook Ads MCP Server is just one example of our commitment to providing businesses with the tools they need to harness the power of AI Agents. Our full-stack platform offers a comprehensive suite of features, including:

• AI Agent Orchestration: Design and manage complex workflows involving multiple AI Agents.
• Enterprise Data Connectivity: Seamlessly connect your AI Agents to a wide range of data sources, including databases, cloud applications, and APIs.
• Custom AI Agent Development: Build custom AI Agents tailored to your specific business needs, leveraging your preferred LLM model.
• Multi-Agent Systems: Create collaborative AI systems that can tackle complex tasks more effectively.

By leveraging UBOS, businesses can unlock the full potential of AI Agents, automating tasks, improving decision-making, and driving innovation.

Conclusion

The UBOS Facebook Ads MCP Server is a powerful tool that enables businesses to seamlessly integrate their Facebook Ads data with LLMs like Claude Desktop. By simplifying data access and enabling natural language querying, this server empowers users to gain deeper insights into their ad performance and make data-driven decisions more effectively. Whether you’re a marketing professional, a data analyst, or a business owner, the Facebook Ads MCP Server can help you unlock the full potential of your Facebook Ads data and drive better results. Explore the possibilities with UBOS and CData, and embark on your journey to AI-powered insights today.