"Understanding and Using Analytics Tools" matching MCP servers:

Enables AI agents to maintain persistent, inspectable understanding through typed, revisable updates, and to coordinate multi-agent work via shared graph-based stigmergy.

Saves the user's exact words as immutable, SHA-256-hashed captures before anything else, then derives events, entities, context cards, and causal hypotheses — every fact traceable to its verbatim source. Local-first personal memory for Claude Code, Codex, and any MCP client.

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

MCP server that provides tools to interact with Google Analytics APIs, enabling account and property retrieval, report running, and custom dimension/metrics access.

Connects to Google Analytics 4 to run reports, manage configurations, and retrieve admin data using natural language.

An MCP server that combines SQL and RAG tools into a reasoning agent for answering retail analytics questions using natural language.

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.

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.

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 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.

Provides five safe tools (calc, search, model_drift, compare_runs, grade_answer) for arithmetic, keyword search, model drift monitoring, eval comparison, and answer grading against sources, all implemented directly from the MCP spec with zero dependencies.

MCP server for YouTube channel deep analytics, extracting transcripts and computing quantitative metrics like WPM, profanity, and humor taxonomy, with multi-creator comparison dashboards.

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 an AI assistant to query the full YouTube Analytics, Data v3, and Reporting API surface for one or multiple channels you own, with unrestricted parameters, local OAuth handling, and large-result output to files.

Provides SQLite database analytics operations through MCP, enabling AI assistants to connect, query, explore schema, and export data from SQLite databases.

Enables MCP clients to query Google Analytics 4 reporting and configuration data through 27 read-only tools, including pivots, funnels, realtime reports, Admin API inspection, and diagnostics, with identifiers redacted by default.

Enables natural-language querying of a local DuckDB warehouse of NFL play-by-play data, converting questions into SQL and returning results.

Provides a governed analytics layer over synthetic product data, exposing MCP tools for investigating product metrics, slicing by dimensions, and comparing periods while preventing unrestricted SQL access.