"Information about Google My Business" matching MCP servers:

Turns local Codex session transcripts into a searchable memory that MCP-compatible coding agents can query to retrieve relevant past sessions or exact commands and fixes.

Enables agents to search a local, fully offline personal document library (Markdown/txt/PDF/docx) via SQLite FTS5 trigram search with subject-terminology expansion, returning every hit with its domain, document title, section path, and page or offset provenance. It also exposes domain statistics, incremental ingestion, and document deprecation as tools, alongside a read-only, runtime-persona-scoped ask/coverage mode.

A customizable Model Context Protocol server built with mcp-framework that enables Claude to access external tools and capabilities through a standardized interface.

Automatically routes natural language questions to RAG or Text2SQL paths to answer queries about virtual construction site data, supporting semantic search and structured aggregation.

Enables querying company knowledge base using RAG, providing accurate answers from internal documents via MCP.

An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.

A local MCP server that enables LLMs to securely search and read files within designated Google Drive folders. Supports Google Docs, Google Sheets, PDFs, and plain text with strict folder-scoping via service account authentication.

MCP server for querying your local Google Takeout activity (Search/YouTube history) via SQLite/FTS5. Provides tools for keyword search, activity stats, and database info, enabling AI assistants to cite your personal history.

A stdio MCP server that provides a single tool to query Gemini with Google Search grounding for current web information, returning synthesized answers with source links.

An MCP server that provides Google Search functionality with automatic API key rotation and intelligent quota management, enabling natural language search queries with advanced filtering options.

Fetches news articles from Google News, vectorizes them locally using ChromaDB, and enables semantic search through natural language queries.

An MCP server that enables AI models to perform Google Web searches using the Gemini API, complete with citations and grounding metadata for accurate information retrieval. It is compatible with Claude Desktop and other MCP clients for real-time web access.

This read-only MCP Server allows you to connect to Dynamics 365 Business Central data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

A Model Context Protocol server that enables Claude to perform Google Custom Search operations by connecting to Google's search API.

Enables AI coding agents to query and manage private Google NotebookLM notebooks with grounded citations, source and note operations, and secure credential containment.

A FastMCP-powered server that connects Google Analytics 4 data to Claude Desktop with automatic OAuth 2.0 authentication, enabling users to access GA4 metrics, properties, and reports through natural language queries.

Provides MCP tools to query device status, customer data, orders, and open incidents, and draft incident notes using mock SAP data.

A tool that connects Google Ads with Claude AI, allowing users to analyze advertising data through natural language conversations and access campaign information, performance metrics, keyword analytics, and ad management.

An evidence-first Model Context Protocol server for private business documents and structured datasets, preserving original files and source lineage.

High-speed Google search intelligence and token-optimized Markdown grounding engine for AI LLMs, autonomous agents, and RAG pipelines.

An MCP server exposing internal business operations as tools — task management (create, list, update status) and RAG-style semantic search over an internal knowledge base (leave, expense, and onboarding policies) that any MCP-compatible AI agent can call directly for grounded, non-hallucinated answers.

Enables MCP-compatible reasoning agents to perform read-only discovery, retrieval, and exact search across Google Drive, Docs, Sheets, and Slides through a stateless Cloud Run service.

Provides AI-powered search and documentation tools using Google Vertex AI or Gemini API with real-time web search grounding, enabling technical queries, code analysis, documentation retrieval, and architecture recommendations to overcome LLM knowledge gaps.

A Model Context Protocol server that enables LLMs to perform web searches using Google's Custom Search API through a standardized interface.

Enables users to build and query a project-local literature database by ingesting papers from Semantic Scholar, PubMed, arXiv, and OpenAlex, caching open-access PDFs, extracting full text, ranking results, and exposing MCP tools for search, seeds, feedback, and pipeline status over stdio.

A Model Context Protocol server that enables AI assistants like Claude to read from, append to, and format text in Google Documents programmatically.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Google Data Catalog (beta): https://www.cdata.com/download/download.aspx?sku=HGZK-V&type=beta

This read-only MCP Server allows you to connect to Google Sheets data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Enables fetching Google's AI Overview answers and cited sources as structured JSON, with support for batch queries and country/language targeting.

Enterprise-grade MCP server with multi-agent system that enables AI-powered business transformation across finance, healthcare, retail, manufacturing, and technology domains through specialized agents for data analysis, API execution, and report generation.