About Linkedin Ads Mcp Server
Linkedin Ads Mcp Server connects LinkedIn Ads data to MCP clients for campaign, creative, and engaged-company analysis. It also supports benchmark comparisons and requests for optimization recommendations.
Key features
- 01Analyze campaign performance
- 02Analyze ad creatives
- 03Analyze companies engaging with campaigns
- 04Compare performance with benchmarks
- 05Request campaign recommendations
Use cases
- 01Compare recent campaign results with benchmarks
- 02Identify the best-performing campaigns
- 03Compare this week's results with last week's
- 04Get recommendations on performance across several quarters
MCP support
The MCP server lets AI models and MCP clients work with LinkedIn Ads data, providing campaign, creative, engaged-company, benchmark, and recommendation capabilities.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEmcp-linkedinads
Analyse your LinkedIn Ads performance. Compare to benchmarks and get optimisation recommendations.
Overview
A Model Context Protocol (MCP) server implementation that provides integration with LinkedIn Ads. This server enables AI models to interact with your LinkedIn Ads data to:
- Campaign Analysis
- Creative Analysis
- Analyse Companies engaging with your campaigns
- Benchmark
- Request recommendations for improving your campaigns.
For more information about the Model Context Protocol and how it works, see Anthropic's MCP documentation.
Example Prompts
- How do my LinkedIn Ad campaigns compare to benchmarks for the past 90 days?
- Which LinkedIn Ad campaigns are performing best?
- How do my LinkedIn Ad campaigns compare this week compared to last week?
- Can you analyse the performance of my LinkedIn Ad campaigns for the past 3 quarters and make recommendations.
Setup
Prerequisites
Install node and npm.
Download Node and NPM here.
You'll need a Radiate B2B private access token for each LinkedIn Ads account. You can get started and also obtain your private access token by completing the form here.
Note: Keep your access token secure and never commit it to version control.
Using the MCP Server
Claude Desktop
Download Claude Desktop here. Make sure it’s on the latest version by clicking on the Claude menu on your computer and selecting “Check for Updates…”
To set up Claude Desktop, complete the following instructions:
- Open the Claude menu on your computer and select “Settings…”. Please note that these are not the Claude Account Settings found in the app window itself.
- Click on “Developer” in the left-hand bar of the Settings pane, and then click on “Edit Config”
- This will create a configuration file if you don’t already have one at:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
- Open up the configuration file in any text editor. Replace the file contents with this:
{
"mcpServers": {
"RadiateB2B LinkedIn Advertising": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.radiateb2b.com/sse",
"--header",
"Authorization: Bearer <your private access token>"
]
}
}
}
- Restart Claude Desktop
- Visit this page for more information and troubleshooting.
Terms and Conditions
The Radiate B2B LinkedIn Ads MCP Server is in beta and subject to our terms.
Links
Official Website: https://radiateb2b.com
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.