pydantic-mcp

pydantic-mcp

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.

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README

pydantic-mcp

pydantic-mcp is an MCP server for inspecting Pydantic models and Python type contracts. It is built for LLM workflows that need deterministic validation, serialization, schema generation, model explanations, and migration help.

Features

  • Discover Pydantic BaseModel classes across configured packages.
  • Resolve targets from import paths, short model names, Python type expressions, or inline model snippets.
  • Validate arbitrary payloads with TypeAdapter or model behavior.
  • Serialize validated data in Python or JSON mode.
  • Generate validation and serialization JSON Schema.
  • Explain fields, defaults, aliases, decorators, constraints, and nested models.
  • Generate valid and invalid example payloads.
  • Infer candidate Pydantic models from sample JSON payloads.
  • Compare strict/non-strict and Python-vs-JSON validation behavior.
  • Analyze common Pydantic v1 to v2 migration issues.
  • Parse partial JSON with pydantic_core.from_json.
  • Expose MCP tools, resources, prompts, plus HTTP health/readiness routes.

Tools

  • list_models
  • inspect_type
  • explain_model
  • validate_data
  • serialize_data
  • generate_json_schema
  • create_example_payload
  • generate_model_from_json
  • compare_validation_modes
  • migrate_v1_to_v2
  • parse_partial_json

Resources

  • pydantic://server/capabilities
  • pydantic://project/settings
  • pydantic://project/import-roots
  • pydantic://project/errors/recent
  • pydantic://project/models/changed
  • pydantic://models/index
  • pydantic://models/{qualified_name}
  • pydantic://schemas/{qualified_name}?mode=validation|serialization
  • pydantic://examples/{qualified_name}
  • pydantic://migration/rules
  • pydantic://reference/overview

Prompts

  • explain model
  • generate api contract docs
  • debug validation error
  • design a model from example json
  • review schema compatibility
  • migrate to pydantic v2

Run

Install dependencies:

uv sync

Run over stdio:

uv run python mcp_server.py --transport stdio

Run over HTTP:

uv run python mcp_server.py --transport http --host 127.0.0.1 --port 8000

Health endpoints:

  • GET /healthz
  • GET /readyz

Configuration

Important environment variables:

  • PYDANTIC_MCP_ALLOWED_IMPORT_ROOTS
  • PYDANTIC_MCP_DEFAULT_SCAN_PACKAGES
  • PYDANTIC_MCP_IMPORT_TIMEOUT_SECONDS
  • PYDANTIC_MCP_ERROR_HISTORY_LIMIT
  • PYDANTIC_MCP_TRANSPORT
  • PYDANTIC_MCP_HOST
  • PYDANTIC_MCP_PORT

Example:

PYDANTIC_MCP_ALLOWED_IMPORT_ROOTS=tests.fixtures.sample_app \
PYDANTIC_MCP_DEFAULT_SCAN_PACKAGES=tests.fixtures.sample_app \
uv run python mcp_server.py --transport stdio

Testing

just test

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