"Using MySQL's MySQL Connector/Python (mcp) with Cursor" matching MCP servers:

A FastMCP server for Cursor platform APIs enabling spend guardrails, cloud agent monitoring, and inter-agent inbox messaging.

AI coding usage analytics — track spend, model usage, and costs across Cursor and Claude Code sessions.

Governed MySQL + MariaDB DBA operations — slow-query, lock-wait/deadlock, replication, and fragmentation RCA, with unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.

MCP server that wraps Cursor Enterprise API to enable AI agents to answer questions about team spending, usage, and model adoption.

Query Grafana logs, metrics, and dashboards from Cursor. Enables the AI to call your Grafana instance via tools without leaving the editor.

Full-featured MCP server for MySQL and MariaDB with 99 tools covering databases, tables, data operations, user management, monitoring, and more.

A self-hosted connector that exposes Search Analytics, URL Inspection, sitemap listing, and property discovery tools to MCP-capable AI assistants. It lets users query clicks, impressions, CTR, position, indexing status, and sitemap processing in natural language using their own Google account, with read-only OAuth access and no service account setup.

A read-only MCP server that provides diagnostic tools for MySQL performance troubleshooting, including processlist, lock waits, InnoDB status, and replication lag, without exposing generic SQL or application data.

Enables real-time monitoring of Cursor Pro usage limits and API quotas across different AI services. Tracks Sonnet 4.5, Gemini, and GPT-5 request usage with alerts when approaching subscription limits.

Um servidor MCP completo para integração com Sentry no Cursor, oferecendo 27 ferramentas para monitoramento de erros, performance e saúde de aplicações.

Enables monitoring and administration of MySQL databases through natural language, supporting multiple simultaneous connections, health checks, and full DDL/DML/DCL operations.

A Model Context Protocol server that provides AI assistants access to AWS CloudWatch Logs, enabling browsing, searching, summarizing, and correlating logs across multiple AWS services.

A Model Context Protocol (MCP) server for comprehensive monitoring and observability of systems using Langfuse.

An unofficial MCP server that connects AI assistants to Akamai APIs, providing tools for edge diagnostics, debugging, and network analysis.

Enables natural language queries for device support, including resolving device references, retrieving device details, historical metrics, and checking provisioning status. Maintains conversation context for multi-turn interactions.

Enables interaction with a self-hosted Keep API to list, search, and retrieve alerts and incidents, along with providers, workflows, and topology, through natural-language tool calls.

Enables real-time data streaming through Server-Sent Events with timestamp broadcasting and server monitoring capabilities. Optimized for deployment on Render.com with health checks and status endpoints.

Read-only MCP server exposing Flowsery analytics and AI-detected issues via 17 GET tools, enabling natural language queries in compatible clients.

Self-hosted Google Search Console MCP server that lets ChatGPT, Claude, or other MCP clients query GSC data in natural language. It exposes tools to list sites, query Search Analytics, inspect URLs, and list sitemaps.

Enables real-time system monitoring and automation through MCP protocol with SSE transport, integrating with n8n workflows to check system health, query logs, and retrieve metrics from ABC system APIs. Supports natural language queries in Vietnamese and English for seamless system administration.

Lets your coding agent check whether a production deploy actually worked. It waits for DeployAngel's verdict on a release (cleared, failed, or not cleared yet) and reads the evidence when one fails, including jobs that quietly stopped running.

Enables analysis of AI agent traces to detect and fix failures using heuristic detectors, with no LLM calls required.

Provides tools for obtaining system CPU and memory statistics through FastAPI endpoints exposed via MCP.

MCP server for profiling Python processes using py-spy, supporting flamegraphs, stack dumps, and performance comparisons.

Transparent MCP proxy with OpenTelemetry tracing. Wrap any MCP server, persist traces to SQLite · Postgres · MySQL. No code changes needed.

MCP server that interfaces with the Adjust API, allowing you to query mobile analytics reports, metrics, and performance data using natural language from any MCP client like Cursor or Claude Desktop.

Enables querying and analysis of container terminal operations including vessel tracking, crane management, and productivity metrics through natural language interactions with a MySQL database.

A powerful, lightweight Model Context Protocol (MCP) server built in Python that enables Artificial Intelligence assistants (Claude Desktop, Cursor, Antigravity, Claude Code, etc.) to manage and monitor your Proxmox VE cluster using natural language.

MCP connector for Paperplane that lets AI tools page you on your phone with event notifications, blocking questions, alert management, replies, and follow-up ticket filing using a single long-lived token.

Query your domains, sender compliance status, and Gmail traffic metrics from Claude, Cursor, or any MCP client using the Gmail Postmaster Tools API.