This MCP server connects to Facebook's Ad Library API, allowing AI agents to fetch and analyze ad data. It provides tools for querying ads, extracting metadata, and performing sentiment analysis. Developers use it to build applications that monitor ad campaigns, track competitor ads, and analyze ad performance trends.
This MCP server connects to Facebook's Ad Library API, allowing AI agents to fetch and analyze ad data. It provides tools for querying ads, extracting metadata, and performing sentiment analysis. Developers use it to build applications that monitor ad campaigns, track competitor ads, and analyze ad performance trends.
pip install facebook-ads-library-mcpAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"talknerdytome-labs-facebook-ads-library-mcp-github": {
"command": "uvx",
"args": [
"pip install facebook-ads-library-mcp"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from facebook ads library mcp?"
API Key Required
This server requires an API key from facebook ads library mcp. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| FACEBOOK_ADS_LIBRARY_MCP_API_KEY | Yes | Your facebook ads library mcp API key |
"What resources are available in facebook ads library mcp?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in facebook ads library mcp"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in facebook ads library mcp with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.