Pitágoras MCP Server

Name: Pitágoras MCP Server
Author: EPA-Digital

@EPA-Digital

代码仓库

关于 Pitágoras MCP Server

暂无概览

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

EPA-Digital

配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

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概览

What is Pitágoras MCP Server?

Pitágoras MCP Server is a Model Context Protocol server that integrates digital marketing campaign data from the Pitágoras API, enabling interactive analysis through interfaces like Claude Desktop. It is intended for marketers and analysts who need to query performance data from Google Ads, Facebook Ads, and Google Analytics 4.

How to use Pitágoras MCP Server?

Install the server following the provided installation guide. Once configured, connect via Claude Desktop, select a client, choose the accounts and media for analysis, then ask questions about campaign performance and generate dashboards, charts, analyses, and reports.

Key features of Pitágoras MCP Server

Connects to Pitágoras API for Google Ads, Facebook Ads, and Google Analytics 4
Support for custom filters in Google Analytics 4 (since v0.3.0)
Metadata tools to access schemas and attribute information
Explicit prohibition of data estimation in prompts
Instructions to retry extraction when API data cannot be retrieved

Use cases of Pitágoras MCP Server

Query campaign performance across Google Ads, Facebook Ads, and Google Analytics 4
Generate dashboards and charts for digital marketing reports
Analyze ad spend, conversions, and other KPIs via natural language
Create custom filtered analyses for Google Analytics 4 data

FAQ from Pitágoras MCP Server

What data sources does Pitágoras MCP Server support?

It supports Google Ads, Facebook Ads, and Google Analytics 4, accessed through the Pitágoras API.

Can I apply custom filters to Google Analytics 4 queries?

Yes, since version 0.3.0 the server includes support for custom filters in Google Analytics 4.

Does the server estimate or simulate data?

No. The prompts explicitly prohibit data estimation; only actual retrieved data is used. If data cannot be obtained, the user is instructed to retry the extraction.

How do I connect Pitágoras MCP Server to Claude Desktop?

After installation, launch Claude Desktop, configure the MCP server connection, then select a client and accounts to start querying.

What runtime or dependencies are required?

The README references a pyproject.toml and requirements.txt, indicating a Python-based project, but no specific runtime version or dependencies are listed in the provided text.