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"A guide to finding data in public databases" matching MCP servers:

  • F
    license
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    quality
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    maintenance
    Enables LLMs and agents to interact with relational databases (SQL Server, MySQL, PostgreSQL) through MCP tools. Supports executing queries, inserting records, listing tables, and exposing database schemas with secure credential management.
  • A
    license
    A
    quality
    F
    maintenance
    Enables AI agents to discover, request access to, and query data products in Data Mesh Manager, enforcing governance policies while retrieving business data from platforms like Snowflake and Databricks.
    4
    46
    MIT
  • F
    license
    A
    quality
    D
    maintenance
    An MCP server for dataset exploration and analysis, enabling LLM clients to perform summary, correlation, distribution, missing value analysis, data cleaning, and statistical tests directly on CSV files.
    3
  • F
    license
    B
    quality
    B
    maintenance
    Bootstrap MCP server for future data exploration and querying across multiple databases, currently only provides a hello_world tool with no actual data connectivity.
    29
  • A
    license
    B
    quality
    C
    maintenance
    Enables AI agents to interact with over 50 SQL and NoSQL databases through MCP tools for querying, schema inspection, and table management.
    5
    1
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    A Model Context Protocol server for data wrangling that provides standardized interfaces for data preprocessing, transformation, and analysis tasks including data aggregation and descriptive statistics.
    16
    8
    MIT
  • A
    license
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    quality
    D
    maintenance
    A production-ready MCP server that provides comprehensive dbt project quality assessment for any GitHub repository, enabling AI agents to analyze dbt models, check metadata coverage, and map data lineage.
    9
    MIT
  • A
    license
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    quality
    C
    maintenance
    A governed MCP server enabling LLM agents to query BigQuery, inspect GCS, trigger Airflow DAGs, and run data-quality checks with built-in security guardrails like allow-lists, cost ceilings, and audit trails.
    1
    MIT
  • A
    license
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    quality
    B
    maintenance
    Enables autonomous data quality inspection and repair workflows. It scans DuckDB warehouses for anomalies, generates and verifies fixes in a dry-run copy, then applies them after validation, with full audit logging.
    MIT
  • A
    license
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    quality
    D
    maintenance
    Transforms high-level business intents into structured Data Product Requirement Prompts through AI-powered conversational refinement. Guides users through clarifying questions to gather comprehensive requirements for automated Business Intelligence dashboard generation.
    1
    Apache 2.0
  • A
    license
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    quality
    D
    maintenance
    An open-source MCP server that aggregates Taiwan public data sources (data.gov.tw, TWSE, MOEA, CWA, etc.) and exposes them through the Model Context Protocol, enabling AI agents to query Taiwan data with a single configuration line.
    1
    Apache 2.0
  • A
    license
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    quality
    D
    maintenance
    An MCP server that gives AI assistants the ability to connect to, query, profile, and monitor data sources — turning any LLM into an interactive data engineering copilot.
    MIT
  • F
    license
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    quality
    D
    maintenance
    Enables AI agents to index and search across SQLite databases and CSV files to discover table schemas and column metadata. It provides a unified MCP API for data source management and structural exploration through natural language.
  • F
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    quality
    D
    maintenance
    Unified financial data access for US, A-share, HK stocks, and FX rates with automatic fallback across multiple data sources.
    1
  • A
    license
    A
    quality
    A
    maintenance
    Enables LLMs to profile and analyze tabular data files (CSV, Parquet, Excel, JSON) by extracting schema, statistics, data quality issues, and dtype suggestions, returning structured JSON.
    4
    6
    2
    MIT