pydantic-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PYDANTIC_MCP_HOST | No | The host address to bind to when using HTTP transport. | |
| PYDANTIC_MCP_PORT | No | The port number to bind to when using HTTP transport. | |
| PYDANTIC_MCP_TRANSPORT | No | Transport method for the MCP server (e.g., 'stdio' or 'http'). | |
| PYDANTIC_MCP_ERROR_HISTORY_LIMIT | No | Limit for the number of errors kept in history. | |
| PYDANTIC_MCP_ALLOWED_IMPORT_ROOTS | No | Roots allowed for imports (e.g., paths to your application code). | |
| PYDANTIC_MCP_DEFAULT_SCAN_PACKAGES | No | Packages to scan for Pydantic models by default. | |
| PYDANTIC_MCP_IMPORT_TIMEOUT_SECONDS | No | Timeout for importing packages in seconds. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_modelsC | Discover exported Pydantic models in configured packages. |
| inspect_typeC | Resolve a Python type annotation or model into a structured description. |
| explain_modelC | Turn a model or type into a human-readable contract. |
| validate_dataC | Validate input against a model name or Python type expression. |
| serialize_dataD | Dump validated data using Pydantic serialization behavior. |
| generate_json_schemaC | Generate JSON Schema for a model or type. |
| create_example_payloadB | Generate example valid and invalid payloads for a target model or type. |
| compare_validation_modesC | Compare model, TypeAdapter, strict, and JSON-vs-Python validation behavior. |
| migrate_v1_to_v2C | Analyze a snippet or model source for common Pydantic v1-to-v2 migration issues. |
| parse_partial_jsonC | Best-effort parse partial JSON, then validate the parsed fragment. |
| generate_model_from_jsonC | Infer candidate Pydantic models from a JSON string or JSON-like payload. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| explain model | Explain a model's fields, constraints, defaults, aliases, and edge cases. |
| generate api contract docs | Turn a model or schema into docs for API consumers. |
| debug validation error | Given a validation trace, suggest the smallest payload fix. |
| design a model from example json | Infer a candidate Pydantic model from sample payloads. |
| review schema compatibility | Compare two models or schemas for breaking changes. |
| migrate to pydantic v2 | Inspect code and produce a migration checklist. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| server_capabilities | |
| project_settings | |
| project_import_roots | |
| recent_errors | |
| migration_rules | |
| models_index | |
| changed_models | |
| reference_overview |
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