The LinkedIn Ads MCP server that moves B2B revenue forward

A LinkedIn Ads MCP server connects LinkedIn advertising data and actions to AI clients through the Model Context Protocol. With Markifact, you can ask for reports, build campaigns and creatives, resolve B2B targeting, and manage budgets from Claude, ChatGPT, Cursor, or another MCP client.

No. As of July 13, 2026, LinkedIn has not published an official MCP server for LinkedIn Ads. LinkedIn provides Marketing APIs and an official Python client for approved developers. Markifact is a third-party managed MCP service that uses LinkedIn's supported API and OAuth access.

LinkedIn offers Campaign Manager, versioned Marketing APIs, partner programs, and an official API client library. Those are building blocks rather than a ready-to-connect MCP endpoint, so a team using them directly must build the tools, authentication, hosting, safety controls, and maintenance layer.

Yes, with an important boundary. Markifact can attach an existing LinkedIn Lead Gen Form to supported single image, video, and carousel ads, and report on lead performance. The current tool set does not create the form itself inside chat.

Markifact can create single image, single video, carousel, text, and Dynamic Spotlight ads. It can also list Company Page posts and sponsor an existing post. Format availability still depends on LinkedIn's objective, ad set type, account eligibility, and creative rules.

Yes. You can search LinkedIn targeting facets and resolve valid values for company, job title, seniority, industry, skill, company size, location, school, field of study, and other supported categories before creating an ad set.

You can use audience identifiers already available to the ad account in campaign targeting, subject to LinkedIn permissions and compatibility. Markifact's current LinkedIn operations do not upload a new company list or create a new Matched Audience from chat, so those source audiences should be prepared in LinkedIn first.

Not when you connect through Markifact. Building directly on LinkedIn's Marketing APIs normally requires a developer application, product access, OAuth setup, and the permissions needed for advertising data or writes. Markifact provides the managed connection layer.

Yes. Markifact supports selecting and reusing multiple LinkedIn ad accounts, which is useful for agencies, regional teams, and businesses with separate product lines. You can compare results across accounts without reconnecting each one for every report.

No write executes silently. The AI can prepare a budget, status, rename, campaign, ad set, or creative change, but Markifact stops the operation and presents an approval request before anything is sent to LinkedIn.

MCP is the connection standard that exposes tools to an AI client. An AI agent is the reasoning layer that decides which tools to use and in what order. Markifact supplies the managed LinkedIn Ads tools, while your chosen assistant or agent handles the conversation and planning.

Markifact uses OAuth-based access, keeps LinkedIn tokens away from the AI client, and separates instant read operations from approval-gated writes. Account access follows the LinkedIn permissions granted during connection.

Yes. Markifact can search and retrieve public ads from LinkedIn's Ads Library, so an AI client can organize competitor messaging, offers, formats, and calls to action before you plan a campaign. See the dedicated LinkedIn Ads Library MCP page for supported filters, prompts, and examples.

Yes. By July 2026, community options included linkedin-campaign-manager-mcp, read-only projects such as CData's LinkedIn Ads MCP example, and broader multi-platform servers. Their authentication, write coverage, hosting model, safeguards, and maintenance vary, so review the code and LinkedIn API requirements before connecting an ad account.