"Exploring Sentiment Analysis with Google NLP" matching MCP servers:

Connect your LLMs to SQL databases safely and intuitively using the Model Context Protocol (MCP). NLP Database acts as a secure, read-only bridge that allows AI agents to explore schemas and query data using natural language.

A read-only MCP server for exploring and analyzing a Secoda data catalog, enabling AI chat, semantic search, glossary browsing, and data lineage tracing.

Enables MySQL database analysis through natural language, including schema exploration, query execution, performance analysis, and ER diagram generation via the Model Context Protocol.

Enables AI assistants to perform CRUD operations on a SQLite database, with all tools protected by Google OAuth 2.0 authentication.

Connects Claude Desktop to a healthcare claims database for natural-language analysis of CPT codes, reimbursement rates, payer performance, and denial patterns.

A server that enables executing and validating SQL queries against Google BigQuery with safety features that prevent data modifications and excessive processing.

An MCP server designed for SQL analysis that demonstrates sampling capabilities by interacting with SQL files in a local directory. It provides a framework for testing client-side sampling while managing SQL-based contexts.

Enables forensic analysis of Windows notification databases (wpndatabase.db) from E01 forensic images, automatically extracting and parsing notification data with search, filtering, timeline analysis, and sensitive information detection capabilities.

Official Google Analytics MCP Server

Enables AI coding agents to read, write, and query Google Sheets as a database through the Model Context Protocol.

This read-only MCP Server allows you to connect to Azure Analysis Services 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 management of Google Cloud services including BigQuery, Cloud Logging, Cloud Storage, and Compute Engine via MCP tools.

Exposes Google Sheets as queryable database tables with operations to list sheets, get schemas, and fetch rows with pagination. Designed to run as a Google Cloud Function with service account authentication.

Enables natural language exploration and querying of Google BigQuery datasets through four tools: listing datasets, inspecting table schemas, generating SQL queries with LLM assistance, and executing approved queries.

Local Model Context Protocol server for reading and writing Google Sheets through Google Sheets API v4.

This MCP server enables AI assistants to automatically sync Google Sheets data to a local database and perform natural language queries and analysis on spreadsheet data.

A Model Context Protocol (MCP) connector that allows AI agents to directly interact with Google Sheets, enabling creation, reading, and modification of spreadsheets through natural language.

Implements an MCP server that interacts with Google Sheets to store and retrieve prompts and ideas, allowing management of textual content with metadata across spreadsheet tabs.

Enables users to interact with PostgreSQL databases through natural language, with GitHub OAuth authentication and role-based access control.

Enables role-based order management through MCP tools, allowing users to view and refund orders according to their permissions (USER, MANAGER, ADMIN) with audit logging and JWT authentication handled by a FastAPI client.