Jampp MCP Server
Description
# Jampp MCP Server This MCP server provides access to the Jampp Reporting API through the Model Context Protocol, allowing LLMs to fetch campaign performance data. ## Features - OAuth 2.0 authentication with automatic token refresh - GraphQL-based API integration - Campaign…
About
# Jampp MCP Server This MCP server provides access to the Jampp Reporting API through the Model Context Protocol, allowing LLMs to fetch campaign performance data. ## Features - OAuth 2.0 authentication with automatic token refresh - GraphQL-based API integration - Campaign spend reporting - Daily spend tracking -…
Details
- Author
- springwq
- Downloads
- 193
- Categories
- Other
Jump to
- OAuth 2.0 authentication with automatic token refresh
- GraphQL-based API integration
- Campaign spend reporting
- Daily spend tracking
- Comprehensive performance metrics
- Asynchronous report generation and retrieval
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Jampp MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install dependencies with uv or pip, set JAMPP_CLIENT_ID and JAMPP_CLIENT_SECRET environment variables in a .env file, then run python jampp_mcp_server.py directly, use mcp dev jampp_mcp_server.py with the MCP Inspector, or configure Claude Desktop by adding the server to its claude_desktop_config.json and restarting the application.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"jampp mcp server": {
"jampp_mcp_server": {
"command": "python",
"args": [
"jampp_mcp_server.py"
]
}
}
}
}
McpServers
{
"jampp_mcp_server": {
"command": "python",
"args": [
"jampp_mcp_server.py"
]
}
}
Jampp MCP Server
This MCP server provides access to the Jampp Reporting API through the Model Context Protocol, allowing LLMs to fetch campaign performance data.
Features
- OAuth 2.0 authentication with automatic token refresh
- GraphQL-based API integration
- Campaign spend reporting
- Daily spend tracking
- Comprehensive performance metrics
- Asynchronous report generation and retrieval
- Available metrics and dimensions listing
Prerequisites
- Python 3.10 or higher
- Jampp API credentials (Client ID and Client Secret)
Installation
1. Clone this repository:
git clone https://github.com/yourusername/mcp-jampp.git
cd mcp-jampp
2. Install dependencies:
uv add "mcp[cli]" httpx python-dotenv
Or with pip:
pip install "mcp[cli]" httpx python-dotenv
3. Set up your environment variables:
Create a .env file in the project root with your Jampp API credentials:
JAMPP_CLIENT_ID=your_client_id
JAMPP_CLIENT_SECRET=your_client_secret
Usage
Running the Server Directly
python jampp_mcp_server.py
Using with MCP Inspector
For development and testing:
mcp dev jampp_mcp_server.py
Integration with Claude Desktop
1. Install Claude Desktop from claude.ai/download
2. Configure Claude Desktop to use this server:
- Open or create ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
- Add the following configuration:
{
"mcpServers": {
"jampp": {
"command": "python",
"args": ["path/to/jampp_mcp_server.py"],
"env": {
"JAMPP_CLIENT_ID": "your_client_id",
"JAMPP_CLIENT_SECRET": "your_client_secret"
}
}
}
}
3. Restart Claude Desktop
Available Tools
1. get_campaign_spend
Fetches campaign spend data for a specific date range.
Parameters:
- from_date: Start date in YYYY-MM-DD format
- to_date: End date in YYYY-MM-DD format
- campaign_id (optional): ID of the specific campaign to query
2. get_campaign_daily_spend
Fetches daily spend data for a specific campaign.
Parameters:
- from_date: Start date in YYYY-MM-DD format
- to_date: End date in YYYY-MM-DD format
- campaign_id: ID of the campaign to query
- timezone (optional): Timezone for the report (default: UTC)
3. get_campaign_performance
Fetches comprehensive performance metrics for campaigns.
Parameters:
- from_date: Start date in YYYY-MM-DD format
- to_date: End date in YYYY-MM-DD format
- campaign_id (optional): ID of a specific campaign to query
- timezone (optional): Timezone for the report (default: UTC)
4. create_async_report
Creates an asynchronous report for larger data sets.
Parameters:
- from_date: Start date in YYYY-MM-DD format
- to_date: End date in YYYY-MM-DD format
- dimensions: List of dimensions to include (e.g. ["campaignId", "campaign"])
- metrics: List of metrics to include (e.g. ["impressions", "clicks", "spend"])
5. get_async_report_status
Checks the status of an asynchronous report.
Parameters:
- report_id: ID of the async report to check
6. get_async_report_results
Gets the results of a completed asynchronous report.
Parameters:
- report_id: ID of the async report to retrieve
7. get_available_metrics_and_dimensions
Gets a list of all available metrics and dimensions for reporting.
Example Queries for Claude
Here are some example queries you can ask Claude when using this MCP server:
1. "Show me the campaign spend for the last 30 days"
2. "What was the daily spend for campaign ID 12345 last week?"
3. "Get me the performance metrics for all campaigns in January 2023"
4. "Create an async report with campaign and country dimensions and impressions, clicks, and spend metrics for Q1"
5. "What metrics and dimensions are available for Jampp reporting?"
License
MIT
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