MCP Servers for Pydantic

Pydantic is a Python library for data validation and settings management using Python type annotations.

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  • Why this server?

    Uses Pydantic models to structure and validate IP geolocation data, including location, organization, and country details returned from the ipinfo.io API.

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    A Model Context Protocol server that retrieves detailed geographic information about IP addresses using the ipinfo.io API, helping determine user location and network details.
    1
    3
    Python
    MIT License
  • Why this server?

    The MCP server leverages Pydantic for data validation and settings management.

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    A FastMCP server that provides real-time weather data from KNMI weather stations, allowing users to access temperature, humidity, wind speed, and other weather metrics for any location in the Netherlands through natural language queries.
    4
    1
    Python
    MIT License
    • Apple
  • Why this server?

    Used for data validation and settings management in the MSSQL MCP server implementation

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    Provides database interaction and business intelligence capabilities, enabling users to run SQL queries, analyze business data, and automatically generate business insight memos for Microsoft SQL Server databases.
    5
    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    The README showcases the use of pydantic_settings.BaseSettings for application configuration in the example code.

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    Eunomia MCP Server is an extension of the Eunomiaframework that connects Eunomia instruments with servers. It provides a simple way to orchestrate data governance policies (like PII detection or user access control) and seamlessly integrate them with external serve
    5
    Python
    Apache 2.0
  • Why this server?

    Uses Pydantic models to structure and validate request data for TapTools API operations, ensuring all JSON requests conform to the expected data schemas.

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    A Python-based MCP server that integrates the TapTools API, enabling AI models to fetch Cardano blockchain data, including tokens, NFTs, market stats, and wallet info, through standardized tools.
    Python
    MIT License
  • Why this server?

    Provides type-safe parameter handling for the resource template system, enabling validation and extraction of parameters from URIs

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    A Model Context Protocol implementation that enables AI-powered access to documentation resources, featuring URI-based navigation, template matching, and structured documentation management.
    1
    Python
    MIT License
  • Why this server?

    Uses Pydantic for data validation of Jira API requests and responses.

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    A server implementation that allows AI models to interact with Jira through the Model Context Protocol, enabling tasks like JQL searches and retrieving issue details.
    Python
  • Why this server?

    Integrated with FastAPI for robust request/response validation and data modeling, providing built-in validation for the MCP implementation.

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    A production-ready MCP server built with FastAPI, providing an enhanced tool registry for creating, managing, and documenting AI tools for Large Language Models (LLMs).
    12
    Python