Pydantic AI
Build typed agents with validated outputs, dependency injection, and model integrations.
- Languages
- Python
- API surface
- Typed Python SDK
- MCP capability
- MCP client
APIs & SDKs
Build agents with typed dependencies and validated output structures. The library exposes a Python API for model calls, tools and application integration.
Explore the developer documentation ↗Integrations
Model integrations and dependency injection connect agents to application services. Typed results help validate data passed to downstream code.
View framework integration resources ↗MCP support
Pydantic AI publishes an MCP client guide for connecting agents to external server tools. Use that guide to configure transports and the lifetime of the connection.
Evidence scope: Python MCP client guide. Documentation reviewed; runtime compatibility has not been tested.
Sources & review
Integration notes reviewed . Check the linked documentation for current package versions, language support and authentication requirements.
How we review directory entries →Related frameworks
Explore frameworks in the same category or from the same maintainer.
