PRO Annual — 50 users, $106.80/year

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Official Vinkius Partner Grade A+ · 10 tools

AdButler MCP + Claude: Audit Ad Performance in Minutes

Stop manually checking ad zone metadata or stitching together fragmented campaign reports. When you connect the AdButler MCP, Claude becomes your dedicated ad operations coordinator, pulling real-time impression and click data directly into GitScrum tickets for instant review.

AdButler MCP is compatible with ClaudeClaude
AdButler MCP is compatible with ChatGPTChatGPT
AdButler MCP is compatible with CursorCursor
AdButler MCP is compatible with GeminiGemini
AdButler MCP is compatible with WindsurfWindsurf
AdButler MCP is compatible with VS CodeVS Code
AdButler MCP is compatible with JetBrainsJetBrains
AdButler MCP is compatible with VercelVercel

Connected via Vinkius catalog · No credit card

AdButler
PRO Annual
$106.80/year · 50 users · no per-seat
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workflow

Create a task. Delegate to Claude. Get the result on your board.

01

Create a task in GitScrum

You create a ticket titled 'Quarterly Ad Inventory Audit' and assign it to Claude, instructing the AI agent: 'Run an audit of all active ad zones by retrieving their zone IDs and checking the current publisher metadata.'

02

Claude runs the AdButler MCP

Claude autonomously calls the necessary tools within your MCP, such as `list_zones` and `get_publisher`, compiling a comprehensive report on all ad placements.

03

Outcome lands in your GitScrum board

The resulting structured data—a list of zones, their status, and associated metadata—is posted as a comment or attached file to the ticket, ready for immediate PM review.

templates

task.create()

AdButler MCP + Claude: 3 Templates for Managing Your Campaign Backlog

Copy. Paste into a Claude-aware GitScrum task. Done.

Backlogtemplate1

Audit Ad Zone Metadata using AdButler MCP

A team member needs to know if all newly created ad zones have proper publisher metadata assigned before launching a campaign.

Claude prompt

Claude, please execute an audit on our current ad inventory. Use the AdButler MCP to list every zone ID and retrieve its associated publisher metadata details so I can confirm compliance across the board.

Sprint wikitemplate2

Summarize Campaign Performance for Sprint Review

The PM needs a quick, high-level summary of performance metrics (impressions/clicks) for three specific campaigns before a standup meeting.

Claude prompt

Claude, summarize the ad serving statistics for these campaign IDs. Use the AdButler MCP to gather data on impressions and clicks so I can quickly present our Q3 performance during the sprint review.

Client portaltemplate3

List All Active Advertisers for Billing

The finance team needs a complete, up-to-date list of all active advertisers to reconcile billing accounts at month-end.

Claude prompt

Claude, generate a clean table listing every active advertiser. Use the AdButler MCP's tools to retrieve this data so I can hand it off directly to accounting without manual checks.

01 · workflow

AdButler MCP + Claude: Automating Ad Inventory Audits for Project Success

Manually auditing ad zones is a nightmare. You spend hours cross-referencing spreadsheets, jumping between dashboards just to verify that every placement has the correct publisher metadata and zone ID. It's slow, prone to human error, and pulls focus away from actual project strategy.

Now, Claude takes over the grunt work. By connecting your AdButler MCP, you simply task Claude with running a full inventory audit. The AI agent gathers all necessary metadata through its tools and delivers one clean, actionable report right back into GitScrum for immediate sign-off.

Open this workflow in GitScrum →
02 · outcome

AdButler MCP + Claude: Reporting Campaign Performance During the Sprint Cycle

Before this integration, reporting campaign performance meant juggling three different tools. You'd pull stats from the ad platform, then manually compare it to the project scope in GitScrum, creating a painful gap between execution and tracking.

The new process is clean. You ask Claude to summarize the ad serving statistics for specific campaigns. The AI agent uses the AdButler MCP to fetch real-time data—impressions, clicks, everything—and posts it directly into your sprint ticket. Decision-making accelerates instantly.

prompts

Claude prompts that fire once AdButler MCP is live

/1

Claude, identify any ad zones that are currently listed but have no associated publisher metadata. Use the AdButler MCP to run a gap analysis and list them out for immediate action.

/2

I need to check if our overall API connectivity is healthy. Can Claude use the AdButler MCP's status checker to verify the current operational health of our ad inventory?

/3

List all campaigns that haven't reported any serving statistics in the last 7 days, using the AdButler MCP data.

/4

Pull a full report listing every single placement and its corresponding ID. Use the AdButler MCP tools to give me a complete map of our current ad infrastructure.

specs

tools.list()

What Claude can call on AdButler MCP: 10 tools for ad-server automation

Each tool is one operation Claude runs on your behalf.

tool_nameoperation
Claude can use this tool to quickly verify the current connectivity status of your AdButler account.
The AI agent retrieves specific, detailed metadata for a chosen advertiser.
This function allows Claude to pull comprehensive performance and setup details for a single campaign ID.
Claude runs this tool to gather the most recent ad serving statistics, including impressions and clicks.
The AI agent compiles a list of every active advertiser associated with your account.
This function provides Claude with a directory listing of all individual ad items within a specific campaign.
Claude uses this tool to fetch an exhaustive list of all campaigns currently managed by the MCP.
The AI agent can retrieve a comprehensive list of every defined placement area in your network.
This function compiles and provides Claude with a full roster of registered publishers for metadata checks.
Claude executes this tool to gather an exhaustive list of all individual ad zones you manage.

grade

A+

tools

10

auth

Required

catalog

Vinkius

faq

faq.read()

AdButler MCP + Claude, answered for GitScrum users

How does Claude use the AdButler MCP within GitScrum? Is it complex?
It's surprisingly simple. Once connected, you just task Claude in a ticket or prompt box. The MCP acts as the bridge, allowing the AI agent to access ad data without you needing direct API knowledge. You simply ask Claude to perform an action.
Can I use AdButler MCP with Cursor or ChatGPT for better workflow integration?
Yes. Any MCP-compatible client, including Cursor and ChatGPT, allows the AI agent to interact with your ad inventory. The key is that Claude works across all these platforms, ensuring consistent access to campaign data regardless of which editor you prefer.
What specific type of project management tasks can AdButler MCP help me audit?
It's ideal for ad ops and publishing roles. You can use it to list all placements, check publisher metadata compliance, or track campaign status updates—all critical PM oversight activities.
Does using the AdButler MCP require advanced technical knowledge in GitScrum?
Absolutely not. The entire workflow is designed for project managers and ad ops teams. You define the task outcome, and Claude handles all the complex calls to the AdButler MCP tools.
If I'm using Claude Pro, how reliable is the data pulled by the AdButler MCP?
The data fidelity depends on your API key setup. However, because Claude is designed to interpret and structure the raw output from the MCP tools, it significantly reduces the chance of misinterpreting complex ad inventory reports.

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GitScrum lists this MCP as a Vinkius partner. Installations happen on Vinkius.

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