Browse Pydantic AI documentation topics and files to locate specific content. Use this tool to navigate the documentation structure and find relevant information.
185,311 tools. Last updated 2026-06-09 16:18
"Pydantic" matching MCP tools:
- Discover exported Pydantic models in configured Python packages. Use this tool to find available models for validation, schema generation, or migration analysis.
- Create Pydantic models automatically from JSON data to enable structured validation and schema generation for Python applications.
- Update and rebuild the Pydantic AI documentation search index by cloning the repository and parsing documentation files.
- Analyze Pydantic v1 code to identify migration issues for v2 and optionally apply fixes.
- Convert validated Pydantic models into serialized formats like JSON or Python dictionaries using configurable serialization options.
Matching MCP Servers
- FlicenseBqualityCmaintenanceAn MCP server for inspecting and interacting with Pydantic models and Python type contracts. It enables LLMs to perform deterministic validation, schema generation, model explanation, and Pydantic v1 to v2 migration analysis.Last updated11
- FlicenseAqualityDmaintenanceProvides programmatic access to Pydantic-AI documentation as an MCP server, enabling retrieval of specific documents, listing of topics, and access to changelog information.Last updated54
- Scan Python projects for patterns that break obfuscation, such as eval, exec, and dynamic attribute access. Returns severity counts, detected frameworks, and a suggested preset.Apache 2.0
- Retrieve the complete JSON representation of a GO-CAM model, including all individuals and facts, for analysis or integration.BSD 3-Clause
- Run custom SQL queries to analyze telemetry data from Logfire, with a configurable time window.MIT
- Lists test cases in an Allure project with optional filters for automation status and owner. Returns IDs, names, automation status, and more.MIT
- Build Datawrapper charts with detailed customization. Pass data in JSON, select a chart type, and control all visual properties through a Pydantic configuration.MIT
- Update an existing Datawrapper chart's data or configuration, including title, colors, and axes, without changing the chart type.MIT
- Run Python scripts in a sandboxed interpreter to call Amazon Advertising API tools for campaign management, reporting, and audience targeting.MIT
- Create customizable Datawrapper charts by specifying data, chart type, and configuration settings for visualizations with full control over properties like title, axes, colors, and styling.MIT
- Run multi-level validation on OSCAL JSON files, from JSON well-formedness to full NIST validation, returning structured per-level results.Apache 2.0
- Retrieve the JSON schema for Datawrapper chart types to discover styling and configuration options, including properties, types, and default values.MIT
- Authenticate and manage Supabase users securely by calling Auth Admin methods. Perform tasks like creating, updating, deleting users, generating links, and managing multi-factor authentication. Inputs are validated for safety.Apache 2.0
- Retrieve the JSON schema for a chart type to explore all styling and configuration options, including properties, types, defaults, and enum values.MIT
- Modify existing Datawrapper chart data or configuration while preserving the original chart type. Update titles, styling, axes, and data points for visualizations.MIT
- Search MCP Protocol and FastMCP documentation to find relevant guides for building MCP servers, with ranked results and optional source filtering.MIT