"Tool for interacting with databases and generating SQL queries with visualized outputs" matching MCP servers:

Enables Claude to receive physical touch events from a phone via the PWA and respond with text, haptic vibrations, and expression changes, giving an AI companion embodied presence through touch.

Allows MCP clients to create, validate, preview, and submit product showcases on Build with AK, with support for local stdio and remote HTTP transports.

Enables LLMs and agents to interact with relational databases (SQL Server, MySQL, PostgreSQL) through MCP tools. Supports executing queries, inserting records, listing tables, and exposing database schemas with secure credential management.

Converts SQL queries between different database dialects using the sqlglot library to ensure cross-system compatibility. It allows users to list supported dialects and transpile SQL code from one syntax to another through the Model Context Protocol.

Provides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, directories, and URLs.

A powerful MCP server for Excel operations with seamless Supabase Storage integration.

Enables AI assistants to safely explore and query MySQL, MariaDB, PostgreSQL, SQLite and StarRocks databases through read-only tools for schema listing, table description, schema search, row sampling, query execution, and plan explanation. Enforces least-privilege accounts, engine-level read-only sessions with timeouts, parsed SQL guardrails, and column masking so runaway or unsafe queries are refused.

A read-only MCP server for SQL Server and PostgreSQL that enables exploring and querying databases (schemas, tables, views, procedures, indexes, foreign keys) and running arbitrary SELECT queries.

An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

Memory bank with Server as SSH support for central knowledge base

An extensible read-only MCP server for SQL databases, enabling schema exploration and safe SELECT queries via tools like list_schemas, list_tables, describe_table, and execute_query.

Enables retrieval of YouTube video titles and transcripts/subtitles through an MCP interface backed by a headless Playwright browser, with optional persistent login/session and stdio or HTTP streaming transports.

Enables natural-language querying and analysis of an e-commerce SQLite database via MCP, with read-only SQL execution, table inspection, and AI-generated answers.

Runs SQL statements in memory against real PostgreSQL 18 and SQLite 3.49 engines after loading your schema and sample rows, returning each statement's own verdict: errors with line, column, and hints, constraint violations, or the resulting rows. It also compares both dialects to expose portability differences, all with no database server, network, or API key.

Enables AI assistants to query SQLite databases using plain language, with strict read-only enforcement and column-level access control to prevent damage or unauthorized data reads.

An MCP server that connects LLMs to SQL databases for development assistance, enabling query execution, schema exploration, and data manipulation while providing safety controls against destructive operations.

A general-purpose MCP server that lets AI work with multiple databases within clear boundaries.

A powerful MCP server for interacting with Trello boards, lists, and cards via AI Hosts.

An MCP server that connects AI assistants to Microsoft SQL Server databases, enabling schema exploration and read-only queries safely.

An MCP server that integrates Alibaba's DashScope platform, providing AI chat tools and resource access through both standard stdio and a web-based interface. It allows users to interact with DashScope large models within the Model Context Protocol ecosystem using TypeScript.

A powerful Model Context Protocol (MCP) tool for exploring and managing different types of databases including PostgreSQL, MySQL, and Firestore.

Enables AI assistants to query PostgreSQL, MySQL, SQL Server, Oracle, and MongoDB databases through MCP with read-only, audited access.

A project that integrates Model Control Protocol with OpenAI's API, allowing OpenAI to access and utilize tools exposed by a dockerized MCP server.

Enables AI agents to discover and work with a user's permitted Excalidraw boards through a single MCP endpoint, reading and adding elements, images, and snapshots while respecting owner, view, edit, and guest-link access controls.

A Model Context Protocol server that provides AI assistants with comprehensive access to SQL databases, enabling schema inspection, query execution, and database operations with enterprise-grade security.

Enables interaction with Microsoft SQL Server databases using both SQL Server and Windows Authentication. It supports flexible connection configurations, including read-only modes and encrypted communication for secure data management.

Semantic navigator for MCP tools that finds relevant tools by natural language intent, reducing token usage by 95%.

Enables AI models to interact with multiple database types (MySQL, MSSQL, Oracle, Sybase) through a unified interface with standardized tools for querying, inspecting schemas, and managing connections without requiring separate server configurations.

MCP server for querying H3Yun SQL data, enabling AI to execute read-only SQL queries and troubleshoot H3Yun business issues.

Gives an LLM read-only, schema-aware SQL database access so users can ask business questions in plain English and receive the exact result set, with malformed queries returned as errors for automatic retry and correction.