MCP server for LinkedIn Ads - access and analyze advertising data across all linked ad accounts using Claude AI
Linkedin Ads MCP MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. MCP server for LinkedIn Ads - access and analyze advertising data across all linked ad accounts using Claude AI.
An MCP (Model Context Protocol) server that enables Claude AI to access and analyze your LinkedIn Ads data. Built for marketers, founders, and growth teams who want to leverage AI for campaign optimization, performance reporting, and data-driven advertising decisions.
You will need 4 environment variables: LINKEDIN_CLIENT_ID, LINKEDIN_CLIENT_SECRET, MY_CLIENT_ID, MY_CLIENT_SECRET. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by danielpopamd; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Linkedin Ads MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Variable | Description | Required |
|---|---|---|
| LINKEDIN_CLIENT_ID | Configuration value read at startup. | Optional |
| LINKEDIN_CLIENT_SECRET | Credential the server authenticates with. | Yes |
| MY_CLIENT_ID | Configuration value read at startup. | Optional |
| MY_CLIENT_SECRET | Credential the server authenticates with. | Yes |
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