"Information about MCP Analytics services or tools" matching MCP servers:

A production-grade MCP server for enterprise sales analytics, enabling LLM clients to query, analyze, and visualize sales data from a SQLite database through structured tools, resources, and prompts.

Enables unified querying of GA4, Cloudflare Web Analytics, Vercel Analytics, and Google Search Console through a single MCP interface, with cross-tracker comparisons and discrepancy reporting.

Google Analytics 4 MCP server with local STDIO and shared team Cloud Run modes, realtime visitor counts, metadata discovery, and funnel analysis.

A security-first MCP server for Umami analytics (Cloud and self-hosted v3) enabling analytics, reporting, and administration with least privilege and credential-safe design.

Enables comprehensive search and browsing of Berlin city services. Also supports PDF form discovery, analysis, and filling with resilient caching.

Universal Database MCP Server enabling AI assistants to connect and query multiple databases including Databricks, BigQuery, PostgreSQL, MySQL, SQL Server, SQLite, and MariaDB through a unified interface.

Enables natural-language-driven analytics over CSV/Parquet or built-in data by decomposing questions into analytical tasks, running them via deterministic DuckDB and SciPy tools, and publishing only claims verified against the underlying rows.

Enables deterministic calculations for AI API and subscription costs, meeting time zones, recurring schedules, and cron next-run previews, returning normalized inputs, units, assumptions, dated sources, and links to results.

Connects Google Analytics 4 data to Claude, Cursor and other MCP clients, enabling natural language queries of website traffic, user behavior, and analytics data with access to 200+ GA4 dimensions and metrics.

Enables AI assistants to answer plain-language questions about world economics—GDP, population, GDP per capita, regional totals, currency conversion, and rankings—using live public data sources with fully traceable reconciliation and exclusions.

Enables natural language querying of marketing analytics across Google Search Console, GA4, Google Ads, HubSpot, and Bing. Provides tools for search queries, traffic, campaign performance, and composite cross-platform rollups.

Provides deterministic tools for transforming, formatting, and inspecting structured data for AI agents.

A FastMCP-based server that provides data analysis tools for processing, analyzing, and visualizing data with an intuitive Streamlit web interface.

A spreadsheet and CSV analysis toolkit for AI agents that enables loading CSV files, filtering and querying data, computing statistics, creating aggregations, building pivot tables, and exporting chart-ready data using pandas.

Enables MCP-compatible agents to discover and call x402 paid services from a directory of over 2,000 APIs.

A Model Context Protocol server that enables AI agents to query Azure Log Analytics workspaces using KQL.

Enables querying and analysis of public GitHub repositories for statistics, contributor data, and commit history. It provides both a RESTful API and an MCP interface for seamless integration with AI agents.

Presents a plausible, tool-rich workspace surface — file reading, credential listing, command execution, database queries, and configuration retrieval — that returns only synthetic results while logging every connection, tool call, and argument received. It enables researchers to measure what MCP clients and agents actually do when handed dangerous-sounding tools, including whether they follow injected instructions or complete a retrieve-then-use credential chain.

Provides a standardized MCP interface for interacting with HTTP tools and services, enabling unified API access and management.

Transforms any API into an intelligent MCP agent in seconds, enabling natural language interaction with APIs through the Model Context Protocol.