Teads AI Chatbot SDK — MCP Integration (Coming Soon)
Planned Release: 2026
Status: 🚧 In Development
Overview
The Model Context Protocol (MCP) integration is an upcoming feature of the Teads AI Chatbot SDK, designed to securely connect conversational AI systems (like Custom GPTs) with Teads' content and measurement APIs.
This integration will make it possible for multiple AI agents to access and share contextual data — such as measurement events, organic recommendations, and paid content — through a single standardized bridge.
What Is MCP?
The Model Context Protocol (MCP) is an open standard that defines how AI models exchange contextual data with external systems in a consistent, secure, and scalable way.
With MCP, AI models will be able to interact with the Teads SDK via standardized “actions,” enabling new forms of contextual advertising and content delivery without exposing API keys or credentials.
In essence, MCP allows Teads SDK to plug into AI chat ecosystems — securely and contextually.
Vision for MCP + Teads SDK
| Capability | Description |
|---|---|
| 🧩 Unified Context Layer | Connect multiple GPTs and agents to Teads APIs through one secure MCP endpoint |
| 🔒 Security by Design | All sensitive keys remain server‑side, managed by the proxy layer |
| 📈 Contextual Intelligence | Feed real‑time content insights into GPTs for smarter recommendations |
| ⚡ Zero‑Config GPT Integration | Register Teads SDK as a context source with one manifest file |
| 🌍 Scalable Multi‑Agent Access | Allow multiple assistants to share measurement and content signals |
High‑Level Architecture (Preview)
GPT / AI Agent
│
│──► MCP Server (Teads Connector)
│ │
│ ├──► Teads Measurement API
│ ├──► Teads Publisher (Organic) API
│ └──► Teads Marketer (Paid) API
│
▼
Contextual Ads, Events & Content Streams
The MCP layer acts as a bridge between GPTs and Teads SDK endpoints, using a shared manifest that defines allowed actions and schemas.
Developer Experience (Planned)
Once released, developers will be able to:
- Register a Teads MCP Manifest that exposes SDK flows as actions.
- Query Teads endpoints through standardized MCP calls like:
{
"action": "getOrganic",
"parameters": { "contentUrl": "https://example.com/page" }
} - Receive structured JSON responses directly usable inside GPTs and other AI agents.
Benefits
| Benefit | Impact |
|---|---|
| 🔐 No key exposure | All credentials stay within your secure proxy |
| 🧠 Smarter context | Deliver real‑time recommendations in chat flows |
| 🔄 Multi‑GPT sync | Multiple assistants share contextual awareness |
| 📊 Unified analytics | Measurement data aggregated from all sources |
| ⚙️ Easy onboarding | Standard manifest format for any agent or GPT |
Roadmap
| Phase | Target | Description |
|---|---|---|
| Phase 1 | MCP Beta (SDK Proxy) | Introduce SDK support for MCP endpoints |
| Phase 2 | Custom GPT Connector | Add official GPT‑action integration via MCP |
| Phase 3 | Partner Rollout | Extend to publisher and marketer ecosystems |
| Phase 4 | General Availability | Public SDK + dashboard release |
Developer Preview Access
Interested developers can apply for early access to the MCP Developer Beta.
Please reach out to your Teads Partner Manager or email:
Summary
The upcoming MCP integration will create a unified, secure bridge between the Teads SDK and the next generation of conversational AI systems — enabling context‑aware ads, content insights, and measurement reporting across multiple AI experiences.
“One protocol. Many agents. Infinite context.”
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