Create and manage LinkedIn Ads through Adspirer — sponsored content, single image, video, carousel, text ads, and lead-gen forms with B2B job-title, company, and industry targeting. Use for anything on LinkedIn. Every LinkedIn campaign requires a campaign group.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# LinkedIn Ads
Everything on LinkedIn goes through the `linkedin_ads` router. Follow `adspirer-mcp` for the
two-step.
Account parameter: `account_id`, as a **string**. Budgets are in the account's currency.
## Every campaign belongs to a campaign group
LinkedIn will not create a bare campaign. Pass either an existing `campaign_group_id`, or a
`campaign_group_name` to create one. There is no default and no implicit group — omitting both
fails.
List the existing groups before you invent a new one; most accounts already have a structure the
user cares about.
## Build order
Campaign group → campaign → creative. Campaigns are created **paused**.
`select_linkedin_campaign_type` picks the format when the user hasn't said. Then
`create_linkedin_image_campaign`, `_video_campaign`, `_carousel_campaign`, or `_text_campaign`.
Creatives attach with `add_linkedin_creative` and its variants.
## Targeting is the point
LinkedIn's value is the professional graph: job title, seniority, function, company, company size,
industry, skills, and groups. That's what the user is paying LinkedIn's CPMs for — a broad,
demographic-only LinkedIn campaign is a waste of money and you should say so.
…
The line at the top of this page pins the label git:20260709.76b05ab, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (2993 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag
Source
GitHub
amekala/ads-mcp · 105 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_2adn7klfdfvka3yp
GET https://markdownregistry.com/api/v1/resolve?ref=amekala/ads-mcp/adspirer-linkedin-ads
GET https://markdownregistry.com/api/v1/blob/9660f1cab867f87720a2c3999545d73d9494f2439525feebaab4ddafbdf2fe0e
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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