"Understanding and Using Analytics Tools" matching MCP servers:

An MCP server that analyzes local or remote GitHub repositories, providing intelligent code context and structure to AI coding assistants.

Integrates Xiaomi MiMo's multimodal API to enable understanding of images, audio, and video through natural language prompts.

MCP server providing portfolio analytics tools: beta to a benchmark, sector correlation, and FIFO trade matching with realized/unrealized P&L using Yahoo Finance prices.

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.

A read-only DuckDB MCP server offering context-efficient analytics tools (list_datasets, describe_table, profile_column, explain, query) with a semantic layer for business rules, security guards, and disclosed truncation to help LLMs produce correct answers while minimizing token usage.

Lets LLMs rank, compare, and connect actors and movies from local IMDb non-commercial datasets stored in DuckDB, with Wikidata enrichment.

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.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

MCP server for personal knowledge management providing AI-powered tools for semantic search, audio transcription, image generation, and PPT creation.

Marketing Analytics AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables safe exploration and analysis of SQLite databases through guarded read-only queries, schema inspection, aggregations, and CSV imports.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

Enables querying Google Search Console, GA4, and IndexNow data via natural language, allowing users to ask about site rankings, clicks, indexing status, and conversions.

Enables AI agents to discover and execute analytical queries on a DuckDB dataset through typed MCP tools, with guarded read-only SQL support for complex calculations without direct database access.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

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.

An MCP-native pipeline for collecting structured intelligence on higher education institutions using the WHED schema, enabling scraping, extraction, validation, and saving of profiles.

Enables LLMs to interact with Google Analytics via Admin and Data APIs, allowing users to retrieve account summaries, run reports, and analyze realtime data.

Enables AI assistants to query Google Analytics accounts, properties, and run reports using natural language through the Admin and Data APIs.

Enables Instagram and Facebook analytics via the Meta Graph API, offering account insights, media analytics, and post engagement data.