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AI Data MCP

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    Related Servers

    • db-connector

      daix1999
      A
      license
      Not graded
      quality
      B
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      Enables AI agents to connect to and interact with MySQL, Redis, and MongoDB through a stdio MCP server, with unified data source discovery, read-only querying, and explicitly authorized write operations.
      MIT

    • mysql-readonly-mcp

      HaokaiLau
      A
      license
      A
      quality
      C
      maintenance
      Enables MCP clients such as Codex to safely inspect a MySQL database over stdio by listing tables, describing schemas and indexes, and running only validated single read-only SELECT/CTE queries plus JSON EXPLAIN plans. Queries execute inside read-only transactions with strict AST-based rejection of writes, multi-statements, and other risky operations, and results come back as structured JSON.
      6
      38 npm
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    • db-mcp

      L92-Labs
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables MCP clients to explore and query Postgres, MySQL, and BigQuery databases—listing schemas and tables, describing columns, sampling rows, running read-only SQL, and, when permitted, executing writes—with schema allowlists, hidden columns, response budgets, and audit logging. Runs on Node/Docker over stdio or Streamable HTTP, or as a Cloudflare Worker with OAuth and Hyperdrive.
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    • querylite-mcp

      itsansui
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables agents to inspect and query local SQLite databases and, when write mode is enabled, perform inserts, updates, deletes, schema changes, and atomic transactions over stdio.
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    • dbrex

      gr4c2-2000
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to query MySQL, ClickHouse, Trino, and S3-compatible object stores through the same local daemon used by VSCode, including running SQL from files and browsing buckets.
      1
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    • Rowbase

      djstreet11
      A
      license
      A
      quality
      A
      maintenance
      Read-only-by-default MySQL/MariaDB, PostgreSQL and SQLite access for AI agents: explore schemas and foreign keys, search, sample, query and EXPLAIN with token-efficient TOON output. Writes only when enabled, always previewed and atomic.
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      96 PyPI
      Apache 2.0
    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A3.9/5.0

    Scored across 18 tools

    Disambiguation5/5

    Tools are cleanly separated by database prefix (mysql_, mongo_, redis_) and distinct actions (list, describe, query, execute, find, aggregate, insert, update, delete). Read vs write vs specialized operations are clearly delineated in descriptions, leaving no meaningful ambiguity.

    Naming Consistency5/5

    All names follow a consistent snake_case pattern with a database prefix and verb-based naming. Minor verb variations (query/find/command) are conventional for each database and do not break predictability.

    Tool Count5/5

    18 tools across three databases (MySQL, MongoDB, Redis) is well-scoped; each database has a focused set covering essential read/write operations without redundancy. The count is justified by the multi-database purpose.

    Completeness4/5

    Covers core CRUD for MySQL (via execute), MongoDB, and Redis (via allowlisted commands), with safety constraints. Minor gaps include no batch insert for MongoDB, no single-document update/delete, and no explicit Redis key deletion/expiration tools.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources