Adform is expanding the use of artificial intelligence in programmatic advertising through its Model Context Protocol (MCP) Server, which allows external AI agents to interact with more than 800 capabilities across its integrated advertising platform. Early customer feedback suggests the technology could reduce the time agencies spend retrieving campaign data, preparing reports and investigating performance issues.
The company reported an initial recommendation score of 9.5 out of 10 and a usefulness rating of 4 out of 5 among early users. Campaign reporting represents almost one-third of queries made through the MCP Server, making data retrieval and analysis its most prominent reported use case so far.
The launch reflects a growing shift in AdTech toward agent-connected infrastructure, where AI systems can interact directly with advertising platforms rather than relying exclusively on manually exported reports, dashboards and spreadsheets.
MCP Connects AI Agents to Programmatic Infrastructure
Adform’s MCP Server uses the Model Context Protocol as a connectivity layer between its advertising platform and external AI agents. By exposing more than 800 platform capabilities, the technology enables users to access advertising data and workflows through natural-language requests.
For programmatic teams, this could change how campaign information is retrieved and interpreted. Instead of manually navigating multiple reporting interfaces or preparing spreadsheet-based analyses, specialists can use conversational interactions to investigate campaign performance and compare information across campaigns.
Adform highlighted omnichannel troubleshooting, including connected TV (CTV) campaign analysis, as an example of how the system can support more complex operational tasks.
The distinction is important: the MCP Server is not simply another AI reporting interface. Its broader purpose is to make advertising platform capabilities accessible to external AI agents through a standardized connection mechanism.
Agencies Explore Faster Campaign Analysis
Early feedback from agency users indicates that reporting and operational efficiency are among the immediate benefits.
Adrián Falque, Digital Manager at Avante, said the technology reduced campaign investigation work that previously took hours to a process taking minutes. The agency also plans to expand its usage by tripling its seats.
Omnicom Media Türkiye highlighted the accessibility of campaign insights through natural-language requests, potentially allowing more team members to explore advertising data without depending entirely on specialist analytics workflows.
Publicis Norway identified reduced Excel preparation as another benefit, emphasizing that quicker access to data allows performance specialists to spend more time interpreting results and optimizing campaigns.
These examples suggest that AI-assisted access to advertising data could affect how agencies distribute analytical responsibilities across campaign management, performance and reporting teams.
Market Landscape
Programmatic advertising generates extensive operational data across channels, campaigns, audiences and performance metrics. However, accessing and translating that information into actionable decisions can require considerable manual work.
AI agents connected directly to advertising infrastructure could reduce this friction by making platform functions available through conversational interfaces.
The development also reflects the wider industry interest in MCP as a common framework for connecting AI applications with external tools and data sources. For AdTech providers, this creates an opportunity to make existing infrastructure more accessible without requiring customers to abandon established platforms.
Adform’s approach places emphasis on opening its integrated platform to external agents rather than restricting AI interactions to a proprietary conversational interface.
Strategic Outlook
The next challenge for agent-connected AdTech will be moving beyond reporting into more complex campaign operations, including optimization and cross-channel execution.
Adform’s announcement establishes the technical scope of its MCP Server, but does not disclose detailed information about autonomous campaign changes, permission controls, security architecture or measurable performance improvements across its wider customer base.
These considerations will matter as agencies evaluate how much operational authority to give AI agents. Faster reporting is a relatively straightforward starting point; allowing agents to influence campaign budgets, targeting or bidding requires stronger governance and human oversight.
If adoption expands, MCP-based connectivity could become an important layer in programmatic infrastructure, helping advertisers combine human decision-making with AI-assisted analysis and execution.
Top Insights
- Adform’s MCP Server exposes more than 800 platform capabilities to external AI agents.
- Campaign reporting accounts for almost one-third of reported queries.
- Early users gave the technology a 9.5/10 recommendation score and 4/5 usefulness rating.
- Agencies report reduced manual reporting, spreadsheet preparation and campaign investigation time.
- Broader adoption will depend on governance, security and the reliability of AI-assisted campaign operations.
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