{"categories":[{"label":"Internet","url":"https://skillfed.io/packages/category/internet/5"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/10"},{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/3"}],"enrichment":{"capability":"Runs an MCP server that exposes Google Analytics Admin and Data APIs as tools for LLMs, enabling queries about accounts, properties, reports, and real-time analytics data.","skillfed_tags":["mcp-server","llm-integration","analytics"],"use_cases":["Ask an LLM for a summary of your Google Analytics accounts and properties without leaving your IDE or chat interface.","Query analytics reports and funnel data through natural language prompts in Gemini or Claude.","Retrieve real-time analytics metrics and custom dimensions/metrics for a property via LLM conversation.","Automate analytics exploration and reporting by having an LLM analyze your GA4 data and suggest insights.","Integrate analytics queries into AI-assisted code development workflows within Gemini Code Assist."],"what_it_does":"analytics-mcp is an MCP (Model Context Protocol) server that bridges Google Analytics APIs to large language models like Claude and Gemini. It wraps the Google Analytics Admin API and Google Analytics Data API, exposing them as tools that an LLM can call to query account summaries, property details, run standard and funnel reports, retrieve real-time data, and fetch custom dimensions and metrics.\n\nThe package is designed to run as a local server that integrates with Gemini CLI, Gemini Code Assist, or Claude Code. Once configured with Google Cloud credentials and added to your LLM client's MCP server list, it allows you to ask natural-language questions about your analytics data directly within your AI assistant\u2014for example, asking for the most popular events in the last 180 days or details about signed-in users. It requires Python 3.10 or later and depends on google-auth, google-analytics-data, google-analytics-admin, mcp, google-adk, and httpx.","worth_installing":"Yes, if you use Gemini CLI, Gemini Code Assist, or Claude Code and want to query Google Analytics through natural language. The package is actively maintained, has no known vulnerabilities, uses a permissive license, and low install friction. However, it requires Google Cloud setup (enabling APIs, configuring credentials) and is not a standalone library\u2014it only works as an MCP server within a compatible LLM client."},"id":"analytics-mcp","links":{"html":"https://skillfed.io/packages/analytics-mcp","md":"https://skillfed.io/packages/analytics-mcp.md","pypi":"https://pypi.org/project/analytics-mcp/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-29","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"analytics-mcp","python_support":"supports_current","summary":"MCP server for Google Analytics"},"popularity":{"monthly_downloads":98139,"position":13101,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.7.0"}