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"Analyzing Football Strategies, Players, and Matches" matching MCP servers:

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    Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.
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    MIT
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    Enables AI interaction with Microsoft Access and SQLite databases to perform SQL queries, updates, and data management. It supports importing and exporting data via CSV and Excel files and includes tools for managing human-readable notes about database files.
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    MIT
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    Enables AI assistants to perform complete CRUD operations on Airtable bases, tables, records, fields, and comments, with batch processing and file attachment support, plus enterprise-grade reliability features.
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    MIT
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    A FastMCP-based server designed for the banking and fintech domains, providing tools for database queries, Git operations, and deployment management. It features a modular architecture with reusable prompt templates and integrated security practices for sensitive data handling.
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    An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB.
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    Enables querying K League official data (rankings, matches, players) via SQL using natural language, with a pre-built SQLite database.
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    An MCP server that provides access to a SQLite database for analyzing trading strategy backtest results and performance metrics. It enables AI assistants to identify robust strategies across different market regimes and compare them against benchmarks using risk-adjusted metrics.
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    Provides structured access to a World Cup SQLite database via MCP tools, enabling queries for tournaments, team histories, head-to-head matches, and player records.
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    A Model Context Protocol server that enables interaction with PostgreSQL databases for analyzing setups, debugging issues, managing schemas, migrating data, and monitoring performance.
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    MIT
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    A Model Context Protocol (MCP) server that gives AI assistants deep visibility into databases, inspecting schemas, detecting index problems, analyzing table bloat, and explaining query plans across PostgreSQL, MySQL, and SQLite.
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    Connect to your Mixpanel data. Query events, retention, and funnel data from Mixpanel analytics.
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    MIT
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    Enables users to interact with Cube's AI agent for real-time analytics and data exploration through a chat interface. It supports generating data visualizations, performing SQL queries, and analyzing trends using natural language.
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    Enables AI-assisted Windows digital forensics analysis including parsing Windows Event Logs (EVTX), analyzing registry hives (SAM, SYSTEM, SOFTWARE), and remotely collecting artifacts via WinRM with built-in security queries and forensic reference data.
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    Enables LLMs to query and analyze logs from SEQ structured logging server with capabilities for searching events, retrieving event details, analyzing log patterns, and accessing saved searches.
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    5
    MIT