"Pydantic" matching MCP servers:

An 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.

A Model Context Protocol (MCP) server providing local-first access to Pydantic and Pydantic AI documentation with BM25-powered full-text search.

Provides programmatic access to Pydantic-AI documentation as an MCP server, enabling retrieval of specific documents, listing of topics, and access to changelog information.

Look up how engineers actually pronounce project / product / jargon names (kubectl, nginx, JSON, Pydantic, JWT) — 1452+ entries with IPA, respelling, source citation, and confidence level.

Enables AI coding assistants to inspect FastAPI applications, routers, and Pydantic models, including generating TypeScript interfaces and Zod schemas and discovering backend routes without hallucination.

Base library for building MCP e-invoicing servers: abstract base classes, shared Pydantic models, XML utilities, and OAuth2-capable async HTTP client.

Policy-based governance for AI agent tool calls. YAML policies, approval gates, risk assessment, and audit logging across LangChain, OpenAI, Anthropic, and MCP.

A Model Context Protocol server that enables LLMs to retrieve and analyze OpenTelemetry traces and metrics from Logfire, supporting exception tracking and custom SQL queries against telemetry data.

Adapter-driven MCP server for Cisco CBS220 switches, Catalyst Center/DNA Center, and Meraki Dashboard, enabling read-only device queries and dry-run write operations via shared Pydantic schemas.

An AI-powered MCP server that connects your Google Ads account to marketing decisions, enabling campaign listing, search-term analysis, budget tuning, pause/enable, and negative keyword management through structured Pydantic models.

An MCP server that gives Claude Code IDE-level intelligence for FastAPI projects — semantic code navigation, safe renaming, route inspection, dependency trees, and Pydantic model analysis. Instead of Claude reading files blindly, it calls structured tools backed by Jedi (Python language server) and Python's AST.

A Python MCP server that provides language models full read/write access to a Node-RED instance through its Admin HTTP API, enabling flow management with structured Pydantic responses and incremental patching.

Enables MCP clients to interact with a local AI agent through Ollama, providing tools for checking weather, current time, and available models, while tracing calls to Langfuse.