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"A financial data and news platform called Tiingo" matching MCP servers:

  • 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
    C
    quality
    A
    maintenance
    Enables AI assistants to access and analyze financial data including stock information, company fundamentals, and market insights through the Financial Modeling Prep API.
    100
    853
    140
    TypeScript
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables generation of comprehensive financial reports for major companies like NVIDIA, Apple, Microsoft, and others. Supports multiple report types including basic summaries, comprehensive analysis, and financial ratio analysis with batch processing capabilities.
    0
    1
    MIT
  • 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
  • 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
    Not graded
    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
    Not graded
    quality
    B
    maintenance
    MCP server for cleaning messy CSV data via a single clean_csv tool. Uses an agentic workflow with rule-based or LLM planners to transform data safely.
    MIT
  • A
    license
    Not graded
    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
    Not graded
    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
    Not graded
    quality
    D
    maintenance
    Enables fetching market and options data including OHLCV prices, option chains, Greeks, and corporate events through a pluggable FastAPI service. Supports creating aligned training datasets for financial analysis and uses yfinance by default with support for custom data providers.
  • F
    license
    Not graded
    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
    license
    Not graded
    quality
    D
    maintenance
    Unified financial data access for US, A-share, HK stocks, and FX rates with automatic fallback across multiple data sources.
    1
  • F
    license
    Not graded
    quality
    D
    maintenance
    An MCP server with 66+ tools for data engineering, enabling AI assistants to interact with Kafka, databases, AWS, data pipelines, infrastructure, and more.
  • 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
    7
    2
    MIT