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Overview

The Scope3 Campaign API is built from the ground up for AI agents, providing both programmatic access and natural language interfaces through the Model Context Protocol (MCP). Whether you’re building agents or using them, Scope3 makes advertising operations conversational and intelligent.

Using Our API via MCP

Connect existing AI agents (Claude, ChatGPT, etc.) to manage campaigns through natural conversation.

Building Agents with Our API

Develop custom AI agents using our comprehensive MCP endpoints and developer tools.

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Using Our API via MCP

Turn any AI assistant into a campaign management expert - just add our MCP server and start talking.

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Quick Setup

🚀 Instant IntegrationAdd our MCP server to any AI assistant: https://docs.agentic.scope3.com/mcpWorks with Claude, ChatGPT, Claude Code, Cursor, and any MCP-compatible agent.
1. Add to config file:
// ~/.config/claude/claude_desktop_config.json
{
  "mcpServers": {
    "scope3": {
      "command": "npx",
      "args": ["-y", "@scope3/campaign-mcp-server"],
      "env": {
        "SCOPE3_API_KEY": "your-api-key"
      }
    }
  }
}
2. Restart Claude Desktop3. Ask Claude: “Create a sustainable fashion campaign for millennials with $50K budget”That’s it! Claude can now manage your entire advertising operation.

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What Your Agents Can Do

Once connected, AI agents can handle complex advertising operations: Campaign Management:
  • “Launch a $25K video campaign targeting Gen Z sports fans”
  • “Pause underperforming campaigns and reallocate budget to winners”
  • “Create A/B tests comparing different audience segments”
Performance Analysis:
  • “Which campaigns are overpacing and need budget adjustments?”
  • “Show me completion rates by publisher and recommend optimizations”
  • “Export last month’s performance data for the board presentation”
Strategic Insights:
  • “Analyze our brand’s performance across all campaigns this quarter”
  • “What audience signals are driving the best ROI?”
  • “Recommend budget allocation for next month based on performance trends”

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Building Agents with Our API

Develop powerful advertising AI agents using our comprehensive MCP toolkit and developer resources.

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MCP Server Architecture

Our MCP server provides 25+ specialized tools organized by function: 
// Brand Agent Management
create_brand_agent, list_brand_agents, update_brand_agent

// Campaign Operations  
create_campaign, update_campaign, list_campaigns

// Creative Management
create_creative, list_creatives, update_creative_status

// Performance Analytics
get_campaign_summary, analyze_tactics, export_campaign_data

// Reporting & Insights
generate_performance_report, get_campaign_health_score

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Developer Integration Patterns

import { FastMCP } from 'fastmcp';

const mcp = new FastMCP({
  server: 'https://api.agentic.scope3.com/mcp',
  headers: {
    'x-scope3-api-key': process.env.SCOPE3_API_KEY
  }
});

// Your agent can now call Scope3 tools
const campaign = await mcp.call('create_campaign', {
  brandAgentId: 'ba_123',
  name: 'AI-Generated Campaign',
  prompt: 'Target high-intent users with video creative',
  budget: { total: 10000, currency: 'USD' }
});

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Advanced Agent Capabilities

Multi-Agent Coordination:
  • Campaign managers that coordinate with creative and analytics agents
  • Portfolio optimization across multiple brand agents
  • Automated A/B testing with statistical significance detection
Custom Optimization Algorithms:
  • Build agents that implement your proprietary bidding strategies
  • Create custom attribution models using our performance data
  • Develop specialized audience targeting based on your business rules
Enterprise Integration:
  • Connect agents to your CRM, BI tools, and marketing stack
  • Implement custom approval workflows and budget controls
  • Create automated reporting and alerting systems

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Developer Resources

MCP Specification

Protocol DocumentationComplete MCP protocol specification and implementation guidelines.

API Reference

Tool DocumentationDetailed documentation for all 25+ MCP tools with examples and parameters.

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Why Agents Love Scope3

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🗣️ Natural Language First

No complex API learning - agents understand advertising through conversation.

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🧠 AI-Optimized Architecture

Built specifically for AI agents with intelligent defaults and contextual responses.

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⚡ Real-time Intelligence

Live performance data and optimization recommendations fuel agent decision-making.

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🔗 Seamless Integration

MCP standard ensures compatibility with existing agent frameworks and tools.

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Next Steps

Quick Start

Get Started FastLaunch your first AI-managed campaign in 5 minutes.

MCP Tools

Explore CapabilitiesBrowse all available MCP tools and their capabilities.

Developer Examples

Code ExamplesAgent implementation examples and integration patterns.