MCP Servers for Pydantic
Pydantic is a Python library for data validation and settings management using Python type annotations.
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.
AsecurityAlicenseAqualityA Model Context Protocol server that retrieves detailed geographic information about IP addresses using the ipinfo.io API, helping determine user location and network details.13PythonMIT LicenseWhy this server?
The MCP server leverages Pydantic for data validation and settings management.
AsecurityAlicenseAqualityA 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.41PythonMIT LicenseWhy this server?
Used for data validation and settings management in the MSSQL MCP server implementation
-securityAlicense-qualityProvides 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.5PythonMIT LicenseWhy this server?
The README showcases the use of pydantic_settings.BaseSettings for application configuration in the example code.
-securityAlicense-qualityEunomia 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 serve5PythonApache 2.0Why 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.
-securityAlicense-qualityA 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.PythonMIT LicenseWhy this server?
Provides type-safe parameter handling for the resource template system, enabling validation and extraction of parameters from URIs
-securityAlicense-qualityA Model Context Protocol implementation that enables AI-powered access to documentation resources, featuring URI-based navigation, template matching, and structured documentation management.1PythonMIT LicenseWhy this server?
Uses Pydantic for data validation of Jira API requests and responses.
-securityFlicense-qualityA server implementation that allows AI models to interact with Jira through the Model Context Protocol, enabling tasks like JQL searches and retrieving issue details.PythonWhy this server?
Integrated with FastAPI for robust request/response validation and data modeling, providing built-in validation for the MCP implementation.
-securityFlicense-qualityA production-ready MCP server built with FastAPI, providing an enhanced tool registry for creating, managing, and documenting AI tools for Large Language Models (LLMs).12Python