
jampp_mcp_server
未知
Repository Info
About This Server
未知
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
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
-
Clone this repository:
git clone https://github.com/yourusername/mcp-jampp.git cd mcp-jampp -
Install dependencies:
uv add "mcp[cli]" httpx python-dotenvOr with pip:
pip install "mcp[cli]" httpx python-dotenv -
Set up your environment variables: Create a
.envfile 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
-
Install Claude Desktop from claude.ai/download
-
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" } } } } - Open or create
-
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 formatto_date: End date in YYYY-MM-DD formatcampaign_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 formatto_date: End date in YYYY-MM-DD formatcampaign_id: ID of the campaign to querytimezone(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 formatto_date: End date in YYYY-MM-DD formatcampaign_id(optional): ID of a specific campaign to querytimezone(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 formatto_date: End date in YYYY-MM-DD formatdimensions: 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:
- "Show me the campaign spend for the last 30 days"
- "What was the daily spend for campaign ID 12345 last week?"
- "Get me the performance metrics for all campaigns in January 2023"
- "Create an async report with campaign and country dimensions and impressions, clicks, and spend metrics for Q1"
- "What metrics and dimensions are available for Jampp reporting?"
License
MIT
Quick Start
Clone the repository
git clone https://github.com/springwq/jampp_mcp_serverInstall dependencies
cd jampp_mcp_server
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
Recommended MCP Servers
Discord MCP
Enable AI assistants to seamlessly interact with Discord servers, channels, and messages.
Knit MCP
Connect AI agents to 200+ SaaS applications and automate workflows.
Apify MCP Server
Deploy and interact with Apify actors for web scraping and data extraction.
BrowserStack MCP
BrowserStack MCP Server for automated testing across multiple browsers.
Zapier MCP
A Zapier server that provides automation capabilities for various apps.