Campaign mcp Server
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"insurance-campaign": {
"env": {
"SERVER_PORT": "8080"
},
"args": [
"-jar",
"path/to/mcp-campaign-server.jar"
],
"command": "java"
}
}
}Are you the author?
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A Spring Boot MCP (Model Context Protocol) server that provides insurance marketing campaign management capabilities for Claude AI integration.
No automated test available for this server. Check the GitHub README for setup instructions.
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A Spring Boot MCP (Model Context Protocol) server that provides insurance marketing campaign management capabilities for Claude AI integration.
git clone <repository-url>
cd Mcp_Campaign
# If you have corporate Maven repository issues, use the startup script
./start.sh
# Or manually with custom settings
mvn clean compile --settings temp-settings.xml
mvn spring-boot:run
The server will start on port 8080 with WebSocket endpoint at ws://localhost:8080/api/mcp
If you encounter corporate Maven repository connectivity issues, create a temporary settings file:
# Create temp-settings.xml with Maven Central only
cat > temp-settings.xml << EOF
<?xml version="1.0" encoding="UTF-8"?>
<settings xmlns="http://maven.apache.org/SETTINGS/1.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/SETTINGS/1.0.0
http://maven.apache.org/xsd/settings-1.0.0.xsd">
<mirrors>
<mirror>
<id>central</id>
<name>Maven Central</name>
<url>https://repo1.maven.org/maven2</url>
<mirrorOf>*</mirrorOf>
</mirror>
</mirrors>
</settings>
EOF
# Then build with custom settings
mvn clean compile --settings temp-settings.xml
The server provides the following MCP tools for Claude integration:
Provides audience targeting criteria recommendations based on user requirements.
Input Parameters:
requirements (required): User requirements for audience targetinginsurance_type (optional): Type of insurance (life, health, auto, property, etc.)campaign_objective (optional): Campaign objective (acquisition, retention, upselling, etc.)Example Usage:
{
"name": "audience_targeting",
"arguments": {
"requirements": "Target young professionals aged 25-35 who are interested in life insurance",
"insurance_type": "life_insurance",
"campaign_objective": "acquisition"
}
}
Recommends personalized campaign content for insurance marketing.
Input Parameters:
audience_criteria (required): Target audience criteria objectinsurance_type (required): Type of insurance productchannel (optional): Marketing channel (email, sms, social_media, etc.)campaign_goal (optional): Campaign goal (awareness, conversion, retention, etc.)Example Usage:
{
"name": "campaign_content_recommendation",
"arguments": {
"audience_criteria": {
"minAge": 25,
"maxAge": 35,
"incomeRange": ["middle_income", "high_income"]
},
"insurance_type": "life_insurance",
"channel": "email",
"campaign_goal": "conversion"
}
}
Executes queries for Claude Inspector tool integration.
Input Parameters:
query (required): Query for Claude Inspector toolExample Usage:
{
"name": "inspector_query",
"arguments": {
"query": "Analyze the effectiveness of recent insurance marketing campaigns"
}
}
GET /api/campaigns/health
GET /api/campaigns/tools
POST /api/campaigns/audience/recommend
Content-Type: application/
... [View full README on GitHub](https://github.com/AlandeXiong/mcp_campaign_server#readme)