"Reading data from MySQL database" matching MCP servers:

A Model Context Protocol server that allows AI agents to execute SQL queries against a MySQL database, supporting operations like reading data, creating tables, inserting, updating, and deleting records.

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

A Meta-MCP Server that acts as a tool discovery service, helping AI assistants find appropriate MCP servers from a database of 800+ servers when they need capabilities that aren't currently available.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

It gives AI agents a ranked, token-budgeted digest of what changed since their last cursor, with drill-down handles and cursor acknowledgement, read from a local database of file and SQL source changes. It enables agents to act on current business state without re-reading and diffing everything themselves.

A server that provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web

MCP Server for OceanBase database and its tools

Lets a coding agent inspect its own run efficiency mid-session from local Claude Code transcripts, exposing the share of paid tokens that became model output versus context re-reading. Ships two stdio tools — one returning the shares as structured data and one returning the full cost-weighted report — with no network calls.

A server that enables running SQL queries against IoTDB databases, providing data reading capabilities and schema information through a Model Context Protocol interface.

An implementation for managing Neo4j graph database operations through the Model Context Protocol, enabling users to execute Cypher queries against their Neo4j database via AI assistants like Cursor and Claude Desktop.

Enables AI assistants to perform comprehensive Redis database operations including managing strings, hashes, lists, sets, sorted sets, TTL management, and data backup/restore. Supports secure connections and provides batch operations for efficient Redis interaction through natural language.

This read-only MCP Server allows you to connect to Monday 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/).

Publishes the app your coding agent built so your coworkers can use it: a private address behind email sign-in, its own database, scheduled jobs and email reminders, with tools to invite people, read logs, roll back and export data.

An orchestration system that coordinates multiple MCP servers to eliminate AI session startup overhead through intelligent project caching. It enables instant context loading and conversation continuity by synchronizing data across Memory, Filesystem, Git, and Database MCPs.

An MCP server that exposes any REST API to LLMs through runtime discovery, providing tools to browse endpoints, fetch schemas, and apply business rules without hardcoding or schema duplication.

This read-only MCP Server allows you to connect to SurveyMonkey data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

Enables LLMs to orchestrate AI agents and tasks, inspect DAG workflows, monitor cluster metrics, and perform safe database queries and statements through standardized MCP tools.

Enables Microsoft Copilot Studio agents to fetch and deliver jokes on demand through the Model Context Protocol. It is published as a Power Platform custom connector, so access benefits from enterprise security, governance, and real-time data capabilities.

Enables AI coding tools to drive the real Chrome browser you already have open — navigating, clicking, typing, reading pages, taking screenshots, and inspecting cookies, network traffic, and storage from within your existing logged-in sessions. All communication stays local to your machine.

Enables local control of existing Chrome/Chromium browser tabs through MCP, including tab management, navigation, content reading, screenshots, and page interaction.