"How to fetch and query data using a MySQL cursor" matching MCP servers:

Token-efficient Figma MCP server with image export, query DSL, and design token support.

A lightweight MCP server that fetches URLs and returns clean, readable markdown, enabling AI assistants to read any webpage with article extraction, caching, and security features.

CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

MCP server that will proxy to your gRPC backends via reflection or descriptors file.

Enables AI assistants to query databases using natural language, with automatic schema discovery and SQL compilation.

Enables AI assistants and LLMs to query SigNoz observability data (metrics, traces, logs, alerts, dashboards) using natural language.

A Model Context Protocol server implementation for Axiom that enables AI agents to query your data using Axiom Processing Language (APL).

A Model Context Protocol server enabling AI assistants to query and explore data warehouses via Trino, with optional semantic context from metadata catalogs.

Connect your Umami Analytics to any MCP client to derive insights from natural language.

A governed SQL gateway for untrusted AI agents, providing controlled access to PostgreSQL, MySQL, and OceanBase with RBAC, field ACLs, row policies, and cost controls.

Security proxy that wraps any MCP server with bidirectional scanning for credential leaks, prompt injection, and tool description poisoning. Also provides an HTTP fetch proxy with a 9-layer scanner pipeline for capability-separated agent deployments.

Enables AI assistants to control Pi-hole DNS filtering, including domain management, query analysis, and system administration, with support for multiple Pi-hole instances and synchronization.

Enables AI agents and workflows to safely explore and query data in ephemeral sandboxed databases via MCP, with guardrails and snapshot capabilities.

Production-ready MCP server designed to empower AI agents and LLMs to interact seamlessly with ClickHouse. It exposes your ClickHouse database as a set of standardized tools and resources that adhere to the MCP protocol, making it easy for agents built on OpenAI, Claude, or other platforms to query, explore, and analyse your data.

MCP-Server from your Database optimized for LLMs and AI-Agents. Supports PostgreSQL, MySQL, ClickHouse, Snowflake, MSSQL, BigQuery, Oracle Database, SQLite, ElasticSearch, DuckDB

🤖 AI-powered Kubernetes management with 37+ tools via natural language. Transform complex Kubectl commands into simple conversations. Perfect for DevOps teams using Cursor AI. Built with Go.

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.

Enables LLM agents to maintain structured long-term memory and knowledge using SQLite, with graph storage and relational query tools for persistent context.

Enables MCP clients like Codex, Cursor, and Claude Code to use memory tools backed by a self-hosted Mem0 OSS instance via a Streamable HTTP adapter.