"Google Docs" matching MCP servers:

Provides an interface to access Google Analytics Data API through Model Context Protocol (MCP), allowing users to retrieve reports and realtime data from Google Analytics 4 properties.

MCP (model context protocol) server for interacting with dbt Docs

Offline-first MCP server for TwitterAPI.io docs (endpoints, pages, blogs) with fast fuzzy search.

Enables an AI assistant to reliably read and chunk PDF/text documents, validate extracted JSON against a schema with full error paths, and save structured output—all confined to a single allowed directory.

An MCP server that converts Apache Airflow DAGs into Prefect flows. It provides tools to read DAGs, lookup translation knowledge, validate code, search Prefect docs, scaffold projects, deploy, and generate migration reports.

Autonomous cross-source inconsistency and contradiction intelligence engine for AI agents. Detects specification drift, SemVer conflicts, and infrastructure mismatches across code, docs, and deployments.

Data compression MCP server with auto-algorithm selection (gzip, brotli, deflate). 7 tools for compress, decompress, analyze, store, retrieve, list, and stats. Achieves 60x compression on docs, 30x on SQL. Lossless round-trip verified. Zero dependencies.

Provides GraphQL access to Airtable and Google Sheets data, enabling natural language queries for data exploration, schema introspection, and record management.

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.

A generic MCP server for querying Emma-app transaction exports stored in Google Sheets, supporting filters, summaries, and metadata via CSV fetching.

Enables LLMs to interact with Google Analytics Admin and Data APIs to retrieve account summaries, property details, and custom metrics. It allows users to run core and real-time reports to analyze website performance and configuration via natural language.

Enables comprehensive integration with Google Analytics 4, allowing users to read analytics reports and send custom events through both the Data API and Measurement Protocol v2.

Enables MCP clients to directly access Google Analytics 4 data, including property metadata, custom dimensions and metrics, reports, real-time reporting, annotations, and Google Ads links.

An MCP server implementation for accessing Google Analytics 4 (GA4) data, built using the Model Context Protocol TypeScript SDK.

A Model Context Protocol server that enables searching Google Patents information via the SerpApi Google Patents API, allowing users to query patent data with various filters and sorting options.

Transforms AI assistants into data analysts by enabling CSV and Google Sheets import, SQL querying, and instant insights through natural language.

The complete open-source SEO data stack for AI agents, integrating Google Search Console, Google Analytics 4, Bing Webmaster Tools, and Microsoft Clarity with built-in analyst tools like cannibalization check, low-hanging fruit, and content gap analysis, all self-hosted and free.

A remote MCP server that exposes full Google Search Console data to AI assistants using Google's unrestricted Bulk Data Export instead of the limited API.

Cross-source attribution across 37+ business tools. True ROAS in 14 seconds. Not a dashboard. A decision.

Enables MCP-capable agents to interact with Dock workspaces, including reading, creating, updating, and deleting rows, managing workspaces, and retrieving activity logs.