AdCP Ecosystem

AdCP organizations, repositories, and how components fit together

AdCP Ecosystem Reference

Token-efficient reference for understanding AdCP’s organizations, repositories, and component relationships. Designed for both human readers and AI agents.

Organizations

Organization	Purpose	URL
AgenticAdvertising.org	Membership community, working groups, member profiles	agenticadvertising.org
AdCP (Ad Context Protocol)	Protocol specification, schemas, documentation	adcontextprotocol.org

Key distinction: AgenticAdvertising.org is the community. AdCP is the protocol. Members join AgenticAdvertising.org to develop and adopt AdCP.

Repositories

All repos are under the adcontextprotocol GitHub organization.

Repo	Purpose	Key Contents
adcp	Protocol and AgenticAdvertising.org	JSON schemas, TypeScript/Python SDKs, protocol docs, AgenticAdvertising.org server (Addie AI, membership, profiles)
salesagent	Reference sales agent implementation	Sales agent code, salesagent docs, deployment configs
creative-agent	Reference creative agent	Creative workflows, standard formats, format validation

Channel-to-Repo Mapping

For Slack channels → GitHub issues:

Channel Pattern	Target Repo	Reason
#salesagent-*	salesagent	Sales agent implementation and docs
#creative-*	creative-agent	Creative agent and formats
#adcp-dev, #protocol-*	adcp	Core protocol and schemas
#general, #community, #membership	adcp	AgenticAdvertising.org server and community features

SDK Packages

Language	Package	Install
JavaScript/TypeScript	@adcp/client	npm install @adcp/client
Python	adcp	pip install adcp

Protocol Components

┌─────────────────────────────────────────────────────────────┐
│                     PRINCIPALS                              │
│            (Advertisers, Agencies, Brands)                  │
└─────────────────────┬───────────────────────────────────────┘
                      │ Authenticate via
                      ▼
┌─────────────────────────────────────────────────────────────┐
│                  ORCHESTRATING AGENTS                       │
│         (AI Agents executing media buying tasks)            │
└─────────────────────┬───────────────────────────────────────┘
                      │ AdCP Tasks (MCP/A2A/REST)
                      ▼
┌─────────────────────────────────────────────────────────────┐
│                    SALES AGENTS                             │
│       (Publisher-side agents handling inventory)            │
└─────────────────────┬───────────────────────────────────────┘
                      │ Platform APIs
                      ▼
┌─────────────────────────────────────────────────────────────┐
│                 AD PLATFORMS/SERVERS                        │
│    (Google Ad Manager, TTD, Meta, etc.)                     │
└─────────────────────────────────────────────────────────────┘

Core AdCP Tasks

Task	Purpose	Category
get_products	Discover inventory via natural language	Discovery
list_creative_formats	Get supported creative formats	Discovery
create_media_buy	Purchase advertising inventory	Execution
get_media_buy	Check campaign status	Execution
modify_media_buy	Update running campaigns	Execution
sync_creatives	Upload/register creative assets	Creative
discover_signals	Find targeting signals	Signals
activate_signal	Enable signal for targeting	Signals

Reference Agents

Agent	URL	Purpose
Test Sales Agent	https://salesagent.adcontextprotocol.org	Testing and examples
Reference Creative Agent	https://creative.adcontextprotocol.org	Standard creative formats

Schema Locations

• Base URL: https://adcontextprotocol.org/schemas/v2/
• Core schemas: /schemas/v2/core/ (product, media-buy, creative, error)
• Task schemas: /schemas/v2/media-buy/ and /schemas/v2/signals/
• Enum schemas: /schemas/v2/enums/

Quick Links

• AdCP Documentation
• AgenticAdvertising.org
• GitHub: adcontextprotocol
• JSON Schema Registry

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This is a placeholder document. Content will be enhanced in future updates.