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"Using MySQL Database with Cursor Functionality" matching MCP servers:

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    quality
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    maintenance
    MCP server for multiple databases (PostgreSQL, MySQL, MariaDB, SQLite, MongoDB, Redis) with tools for schema inspection, querying, performance diagnostics, and safe write operations, featuring access modes, PII masking, and audit logging.
    Last updated
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    Enables AI agents to interact with Freeplay, an ops platform for AI engineering teams, to analyze production logs, identify quality issues, iterate on prompts and agents using real data, and run experiments before deploying.
    Last updated
    9
    2
    Apache 2.0
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    quality
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    maintenance
    Enables AI assistants to search, analyze, and debug application API traffic captured by Tusk Drift, including HTTP requests, database queries, distributed traces, latency metrics, and error rates.
    Last updated
    6
    5
    5
    MIT
  • A
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    quality
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    maintenance
    MCP server for AWS infrastructure analysis. Connects to DynamoDB, Lambda, SQS, SNS, Secrets Manager, EventBridge, RDS, PostgreSQL, MongoDB, and CloudWatch — surfaces missing indexes, queue DLQs, Lambda config issues, IaC drift, and security findings for Claude Code and Cursor.
    Last updated
    21
    416
    16
    MIT
  • A
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    maintenance
    MCP server for Drumbeats monitoring. Enables creating monitors, triaging incidents, and running HTTP/SSL/DNS checks using natural language from any AI client.
    Last updated
    16
    186
    2
    Apache 2.0
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    Enables AI assistants to query and analyze Alibaba Cloud SLS logs using natural language, supporting multiple log sources like Function Compute and ECS. It provides tools for searching logs, performing SQL analysis, and visualizing log distributions directly within Cursor or Claude.
    Last updated
    6
    42
    10
    MIT
  • F
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    quality
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    maintenance
    Enables searching Sumo Logic logs using the search_logs tool, with support for query parameters such as time range and maximum results.
    Last updated
    1
    1
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    Enables agents to report and query performance metrics to build a community-driven quality database for MCP tools. This server helps agents discover and select the most reliable tools based on success rates and user-reported quality scores.
    Last updated
    4
    MIT
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    maintenance
    AI-agent observability server whose distinguishing feature is a SHA-256 hash-chained, tamper-evident audit log with chain verification and signed export. Works with Claude Desktop, Cursor, and any MCP client.
    Last updated
    22
    2
    9
    MIT