Fm Mcp Servers – A Unified Advertising Data Hub

Fm Mcp Servers is a suite of Model Context Protocol (MCP) services built by the FeedMob Development Team to bridge AI assistants with real‑time advertising platforms. In many AI workflows, the model needs up‑to‑date campaign metrics, spend figures, and performance insights to answer user queries or generate actionable reports. Traditional approaches rely on manual API calls or custom integrations, which quickly become brittle as new ad networks emerge. Fm Mcp Servers solves this by exposing a single, consistent MCP interface that abstracts the idiosyncrasies of each vendor’s API. The result is a plug‑and‑play data layer that lets developers focus on building AI logic instead of maintaining dozens of separate connectors.

The server collection covers the most widely used ad tech partners in the mobile ecosystem: Jampp, Kayzen, Singular, AppSamurai, TapJoy, Applovin, IronSource, Mintegral, Inmobi, and Liftoff. Each module implements the standard MCP resource model—, , and —and translates that into the vendor‑specific REST calls. For example, the Jampp Reporting server exposes a resource that returns spend tracking and performance metrics; the Liftoff module adds advanced report lifecycle endpoints such as , , and . Because all servers follow the same MCP contract, an AI assistant can request and receive a uniform JSON payload regardless of the underlying platform.

Key capabilities include:

• Unified data schema – Every report, campaign, and spend metric is returned in a common structure, easing downstream processing.
• Real‑time freshness – Endpoints query the native APIs on demand, ensuring AI models work with the latest data.
• Extensibility – New ad networks can be added by implementing a thin MCP wrapper; the core server logic remains unchanged.
• Security abstraction – API keys and OAuth tokens are managed internally, so the AI client never handles sensitive credentials.

Typical use cases involve conversational agents that answer questions like “What was my spend on AppSamurai last week?” or generate trend analyses across multiple networks. In marketing analytics platforms, the MCP layer can feed AI‑powered dashboards that automatically pull in fresh data and suggest optimizations. For product managers, the uniform interface enables quick what‑if scenarios: “If I increase spend on TapJoy by 20%, how will ROI change across all campaigns?”

By integrating Fm Mcp Servers into an AI workflow, developers gain a reliable, vendor‑agnostic data source that reduces integration effort, eliminates duplicated code, and ensures consistent response formats. The result is a smoother developer experience and more accurate AI insights across the entire advertising stack.