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"Exploring MySQL Database Information" matching MCP servers:

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    Connect and interact with MySQL databases seamlessly. Execute SQL queries, manage database connections, and retrieve data directly through AI assistants. Enhance your AI capabilities with structured access to your MySQL data.
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    Connect AI agents to SQL databases (SQLite, PostgreSQL, MySQL) with a unified interface for querying data, exploring schemas, inserting rows, and exporting results to CSV. Includes safety features like dangerous query blocking and write guards.
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    MIT
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    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.
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    Enables AI agents to safely interact with MySQL/MariaDB databases, supporting read-only queries by default with optional write operations and access control.
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    Allows AI assistants to list tables, read data, and execute SQL queries through a controlled interface, making database exploration and analysis safer and more structured.
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    A Model Context Protocol server providing LLMs with access to the Ensembl genomics database, enabling AI assistants to query gene information, sequences, variants, and other genomic data across multiple species.
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    MIT
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    DexPaprika MCP server allows LLMs to access real-time and historical data on tokens, DEX trading activity, and liquidity across multiple blockchains. It enables natural language queries for exploring market trends, token performance, and DeFi analytics through a standardized interface.
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    MCP server for The Movie Database (TMDB): search and look up movies, TV shows and people, and read IMDb/Rotten Tomatoes/Metacritic ratings (via OMDb) in the same call.
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    A drop-in Model Context Protocol (MCP) server that lets an AI agent query PostgreSQL — read-only, enforced at the database level, with real SQL validation, timeouts, cost limits, OAuth 2.1, and an audit trail.
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    MIT
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    Coordination for parallel coding agents: TTL file claims stored in the git common dir (visible across all worktrees), enforcement hooks that block colliding edits, agent presence, handoff notes, and a git-committed lessons knowledge base with BM25 search. Single static Go binary — no server, no database.
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    A Linux system monitoring MCP server that provides real-time information on CPU, memory, disk, network, processes, Docker, security, and more via MCP tools.
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    Enables AI agents to search and retrieve academic papers, author profiles, and citation data from the Scopus database via MCP tools.
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    Read-only, PII-masked MCP server for querying data federated through DuckDB — list sources/tables, inspect schemas, and run SQL across Postgres, MySQL, SQLite, Snowflake, BigQuery, Excel, and files, governed per source/table/column by a charter.yaml contract. Snowflake, BigQuery, Excel, and files, governed per source/table/column by a charter.yaml contract.
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    Apache 2.0
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    Gives an AI agent complete knowledge of a specific DevExpress XAF application: its entities, controllers, actions, business rules, Model Editor customizations, custom property editors and the version-gated data migrations that ran once on a production database. Reads the source with Roslyn without compiling it, so it works on a branch that does not build and needs no DevExpress licence.
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    Search past OpenCode conversation history before starting new work on a module or file, via a local read-only FTS5 index built from OpenCode's own SQLite database. No network calls, fully local. 7 tools for keyword search, file lookup, and session browsing.
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    MIT