Developer documentation > API reference > User MCP server

User MCP server¶

EnumAPIRepresentationConverter¶

class datarobot.models.user_mcp_server_deployment.EnumAPIRepresentationConverter

PromptInUserMCPServerDeployment¶

class datarobot.models.user_mcp_server_deployment.PromptInUserMCPServerDeployment

A prompt registered in one MCP server deployment. It is used to: - Create one prompt and register it in one MCP server deployment. - List tools registered in one MCP server deployment.

Variables

Attribute	Type	Description
`id`	`str`	The identifier of prompt.
`name`	`str`	The prompt name.
`type`	`str`	The prompt type. It is a camelCase string representation of TypeOfPromptInUserMCPServerDeployment.
`created_at`	`str`	Datetime when the prompt is created. It is formatted as RFC3339 UTC, e.g., 2026-02-24T19:12:48.285320Z.
`user_id`	`bool`	The identifier of user who created the prompt.
`user_name`	`str`	The name of user who created the prompt.
`mcp_server_deployment_id`	`str`	The identifier of MCP server deployment (custom model deployment) under which the prompt is registered.

create()¶

classmethod create()

Create a new MCP prompt and return it.

Parameters

Parameter	Type	Description
`mcp_server_deployment_id`	`str`	The identifier of MCP server deployment (custom model deployment) under which the prompt is registered.
`name`	`str`	The prompt name.
`type`	`TypeOfPromptInUserMCPServerDeployment`	The prompt type.

Returns

Returns	Description
The created MCP prompt.

Return type: PromptInUserMCPServerDeployment

list()¶

classmethod list()

Get a list of MCP prompts.

Parameters

Parameter	Type	Description
`mcp_server_deployment_id`	`str`	The identifier of MCP server deployment (custom model deployment) under which the prompt is registered.
`offset`	`int`	The offset of the query.
`limit`	`int`	The limit of returned MCP prompt.

Returns

Returns	Description
A list of MCP prompts.

Return type: List[PromptInUserMCPServerDeployment]

delete()¶

method delete()

Delete a MCP prompt.

Return type: None

from_data()¶

classmethod from_data()

Instantiate an object of this class using a dict.

Parameters

Parameter	Type	Description
`data`	`dict`	Correctly snake_cased keys and their values.

Return type: TypeVar(T, bound= APIObject)

from_server_data()¶

classmethod from_server_data()

Instantiate an object of this class using the data directly from the server, meaning that the keys may have the wrong camel casing

Parameters

Parameter	Type	Description
`data`	`dict`	The directly translated dict of JSON from the server. No casing fixes have taken place
`keep_attrs`	`iterable`	List, set or tuple of the dotted namespace notations for attributes to keep within the object structure even if their values are None

Return type: TypeVar(T, bound= APIObject)

ResourceInUserMCPServerDeployment¶

class datarobot.models.user_mcp_server_deployment.ResourceInUserMCPServerDeployment

A resource registered in one MCP server deployment. It is used to: - Create one resource and register it in one MCP server deployment. - List tools registered in one MCP server deployment.

Variables

Attribute	Type	Description
`id`	`str`	The identifier of resource.
`name`	`str`	The resource name.
`type`	`str`	The resource type. It is a camelCase string representation of TypeOfResourceInUserMCPServerDeployment.
`uri`	`str`	The resource URI.
`created_at`	`str`	Datetime when the resource is created. It is formatted as RFC3339 UTC, e.g., 2026-02-24T19:12:48.285320Z.
`user_id`	`bool`	The identifier of user who created the resource.
`user_name`	`str`	The name of user who created the resource.
`mcp_server_deployment_id`	`str`	The identifier of MCP server deployment (custom model deployment) under which the resource is registered.

create()¶

classmethod create()

Create a new MCP resource and return it.

Parameters

Parameter	Type	Description
`mcp_server_deployment_id`	`str`	The identifier of MCP server deployment (custom model deployment) under which the resource is registered.
`name`	`str`	The resource name.
`type`	`TypeOfResourceInUserMCPServerDeployment`	The resource type.
`uri`	`str`	The resource URI.

Returns

Returns	Description
The created MCP resource.

Return type: ResourceInUserMCPServerDeployment

list()¶

classmethod list()

Get a list of MCP resources.

Parameters

Parameter	Type	Description
`mcp_server_deployment_id`	`str`	The identifier of MCP server deployment (custom model deployment) under which the resource is registered.
`offset`	`int`	The offset of the query.
`limit`	`int`	The limit of returned MCP resource.

Returns

Returns	Description
A list of MCP resources.

Return type: List[ResourceInUserMCPServerDeployment]

delete()¶

method delete()

Delete a MCP resource.

Return type: None

from_data()¶

classmethod from_data()

Instantiate an object of this class using a dict.

Parameters

Parameter	Type	Description
`data`	`dict`	Correctly snake_cased keys and their values.

Return type: TypeVar(T, bound= APIObject)

from_server_data()¶

classmethod from_server_data()

Instantiate an object of this class using the data directly from the server, meaning that the keys may have the wrong camel casing

Parameters

Parameter	Type	Description
`data`	`dict`	The directly translated dict of JSON from the server. No casing fixes have taken place
`keep_attrs`	`iterable`	List, set or tuple of the dotted namespace notations for attributes to keep within the object structure even if their values are None

Return type: TypeVar(T, bound= APIObject)

ToolInUserMCPServerDeployment¶

class datarobot.models.user_mcp_server_deployment.ToolInUserMCPServerDeployment

A tool registered in one MCP server deployment. It is used to: - Create one tool and register it in one MCP server deployment. - List tools registered in one MCP server deployment.

Variables

Attribute	Type	Description
`id`	`str`	The identifier of tool.
`name`	`str`	The tool name.
`type`	`str`	The tool type. It is a camelCase string representation of TypeOfToolInUserMCPServerDeployment.
`created_at`	`str`	Datetime when the tool is created. It is formatted as RFC3339 UTC, e.g., 2026-02-24T19:12:48.285320Z.
`user_id`	`bool`	The identifier of user who created the tool.
`user_name`	`str`	The name of user who created the tool.
`mcp_server_deployment_id`	`str`	The identifier of MCP server deployment (custom model deployment) under which the tool is registered.

create()¶

classmethod create()

Create a new MCP tool and return it.

Parameters

Parameter	Type	Description
`mcp_server_deployment_id`	`str`	The identifier of MCP server deployment (custom model deployment) under which the tool is registered.
`name`	`str`	The tool name.
`type`	`TypeOfToolInUserMCPServerDeployment`	The tool type.

Returns

Returns	Description
The created MCP tool.

Return type: ToolInUserMCPServerDeployment

list()¶

classmethod list()

Get a list of MCP tools.

Parameters

Parameter	Type	Description
`mcp_server_deployment_id`	`str`	The identifier of MCP server deployment (custom model deployment) under which the tool is registered.
`offset`	`int`	The offset of the query.
`limit`	`int`	The limit of returned MCP tool.

Returns

Returns	Description
A list of MCP tools.

Return type: List[ToolInUserMCPServerDeployment]

delete()¶

method delete()

Delete a MCP tool.

Return type: None

from_data()¶

classmethod from_data()

Instantiate an object of this class using a dict.

Parameters

Parameter	Type	Description
`data`	`dict`	Correctly snake_cased keys and their values.

Return type: TypeVar(T, bound= APIObject)

from_server_data()¶

classmethod from_server_data()

Instantiate an object of this class using the data directly from the server, meaning that the keys may have the wrong camel casing

Parameters

Parameter	Type	Description
`data`	`dict`	The directly translated dict of JSON from the server. No casing fixes have taken place
`keep_attrs`	`iterable`	List, set or tuple of the dotted namespace notations for attributes to keep within the object structure even if their values are None

Return type: TypeVar(T, bound= APIObject)

TypeOfPromptInUserMCPServerDeployment¶

class datarobot.models.user_mcp_server_deployment.TypeOfPromptInUserMCPServerDeployment

Supported types of prompts in one user MCP server deployment

USER_PROMPT_TEMPLATE : A prompt template created as an MCP prompt decorated function within the user MCP server.

USER_PROMPT_TEMPLATE_VERSION : A prompt template created and registered in DataRobot.

TypeOfResourceInUserMCPServerDeployment¶

class datarobot.models.user_mcp_server_deployment.TypeOfResourceInUserMCPServerDeployment

Supported types of resources in one user MCP server deployment

USER_RESOURCE : A resource created as an MCP resource decorated function within the user MCP server.

TypeOfToolInUserMCPServerDeployment¶

class datarobot.models.user_mcp_server_deployment.TypeOfToolInUserMCPServerDeployment

Supported types of tools in one user MCP server deployment

USER_TOOL : A tool created as an MCP tool decorated Python function within the user MCP server.

BUILT_IN_TOOL : A DataRobot Predictive AI tool or wrapper tool of external service (e.g., GitHub).

USER_TOOL_DEPLOYMENT : A tool created as a custom inference model.

PromptInUserMCPServerVersion¶

class datarobot.models.user_mcp_server_version.PromptInUserMCPServerVersion

A prompt registered in one MCP server version. It is used to: - List prompts registered in one MCP server version.

Variables

Attribute	Type	Description
`id`	`str`	The identifier of prompt.
`name`	`str`	The prompt name.
`type`	`str`	The prompt type. It is a camelized string representation of TypeOfPromptInUserMCPServerVersion.
`created_at`	`str`	Datetime when the prompt is created. It is formatted as RFC3339 UTC, e.g. 2026-02-24T19:12:48.285320Z
`user_id`	`bool`	The identifier of user who created the prompt.
`user_name`	`str`	The name of user who created the prompt.
`mcp_server_version_id`	`str`	The identifier of MCP server version (custom model version) under which the prompt is registered.

list()¶

classmethod list()

Get a list of MCP prompts.

Parameters

Parameter	Type	Description
`mcp_server_version_id`	`str`	The identifier of MCP server version (custom model version) under which the prompt is registered.
`offset`	`int`	The offset of the query.
`limit`	`int`	The limit of returned MCP prompt.

Returns

Returns	Description
A list of MCP prompts.

Return type: List[PromptInUserMCPServerVersion]

from_data()¶

classmethod from_data()

Instantiate an object of this class using a dict.

Parameters

Parameter	Type	Description
`data`	`dict`	Correctly snake_cased keys and their values.

Return type: TypeVar(T, bound= APIObject)

from_server_data()¶

classmethod from_server_data()

Instantiate an object of this class using the data directly from the server, meaning that the keys may have the wrong camel casing

Parameters

Parameter	Type	Description
`data`	`dict`	The directly translated dict of JSON from the server. No casing fixes have taken place
`keep_attrs`	`iterable`	List, set or tuple of the dotted namespace notations for attributes to keep within the object structure even if their values are None

Return type: TypeVar(T, bound= APIObject)

ResourceInUserMCPServerVersion¶

class datarobot.models.user_mcp_server_version.ResourceInUserMCPServerVersion

A resource registered in one MCP server version. It is used to: - List resources registered in one MCP server version.

Variables

Attribute	Type	Description
`id`	`str`	The identifier of resource.
`name`	`str`	The resource name.
`type`	`str`	The resource type. It is a camelized string representation of TypeOfResourceInUserMCPServerVersion.
`uri`	`str`	The resource URI.
`created_at`	`str`	Datetime when the resource is created. It is formatted as RFC3339 UTC, e.g. 2026-02-24T19:12:48.285320Z
`user_id`	`bool`	The identifier of user who created the resource.
`user_name`	`str`	The name of user who created the resource.
`mcp_server_version_id`	`str`	The identifier of MCP server version (custom model version) under which the resource is registered.

list()¶

classmethod list()

Get a list of MCP resources.

Parameters

Parameter	Type	Description
`mcp_server_version_id`	`str`	The identifier of MCP server version (custom model version) under which the resource is registered.
`offset`	`int`	The offset of the query.
`limit`	`int`	The limit of returned MCP resource.

Returns

Returns	Description
A list of MCP resources.

Return type: List[ResourceInUserMCPServerVersion]

from_data()¶

classmethod from_data()

Instantiate an object of this class using a dict.

Parameters

Parameter	Type	Description
`data`	`dict`	Correctly snake_cased keys and their values.

Return type: TypeVar(T, bound= APIObject)

from_server_data()¶

classmethod from_server_data()

Instantiate an object of this class using the data directly from the server, meaning that the keys may have the wrong camel casing

Parameters

Parameter	Type	Description
`data`	`dict`	The directly translated dict of JSON from the server. No casing fixes have taken place
`keep_attrs`	`iterable`	List, set or tuple of the dotted namespace notations for attributes to keep within the object structure even if their values are None

Return type: TypeVar(T, bound= APIObject)

ToolInUserMCPServerVersion¶

class datarobot.models.user_mcp_server_version.ToolInUserMCPServerVersion

A tool registered in one MCP server version. It is used to: - List tools registered in one MCP server version.

Variables

Attribute	Type	Description
`id`	`str`	The identifier of tool.
`name`	`str`	The tool name.
`type`	`str`	The tool type. It is a camelized string representation of TypeOfToolInUserMCPServerVersion
`created_at`	`str`	Datetime when the tool is created. It is formatted as RFC3339 UTC, e.g. 2026-02-24T19:12:48.285320Z
`user_id`	`bool`	The identifier of user who created the tool.
`user_name`	`str`	The name of user who created the tool.
`mcp_server_version_id`	`str`	The identifier of MCP server version (custom model version) under which the tool is registered.

list()¶

classmethod list()

Get a list of MCP tools.

Parameters

Parameter	Type	Description
`mcp_server_version_id`	`str`	The identifier of MCP server version (custom model version) under which the tool is registered.
`offset`	`int`	The offset of the query.
`limit`	`int`	The limit of returned MCP tool.

Returns

Returns	Description
A list of MCP tools.

Return type: List[ToolInUserMCPServerVersion]

from_data()¶

classmethod from_data()

Instantiate an object of this class using a dict.

Parameters

Parameter	Type	Description
`data`	`dict`	Correctly snake_cased keys and their values.

Return type: TypeVar(T, bound= APIObject)

from_server_data()¶

classmethod from_server_data()

Instantiate an object of this class using the data directly from the server, meaning that the keys may have the wrong camel casing

Parameters

Parameter	Type	Description
`data`	`dict`	The directly translated dict of JSON from the server. No casing fixes have taken place
`keep_attrs`	`iterable`	List, set or tuple of the dotted namespace notations for attributes to keep within the object structure even if their values are None

Return type: TypeVar(T, bound= APIObject)

TypeOfPromptInUserMCPServerVersion¶

class datarobot.models.user_mcp_server_version.TypeOfPromptInUserMCPServerVersion

Supported types of prompts associated with one user MCP server version

USER_PROMPT_TEMPLATE : A prompt template created as a mcp prompt decorated function within the user MCP server.

TypeOfResourceInUserMCPServerVersion¶

class datarobot.models.user_mcp_server_version.TypeOfResourceInUserMCPServerVersion

Supported types of resources associated with one user MCP server version

USER_RESOURCE : A resource created as a mcp resource decorated function within the user MCP server.

TypeOfToolInUserMCPServerVersion¶

class datarobot.models.user_mcp_server_version.TypeOfToolInUserMCPServerVersion

Supported types of tools associated with one user MCP server version

USER_TOOL : A tool created as a mcp tool decorated python function within the user MCP server.

BUILT_IN_TOOL : A DataRobot Predictive AI tool or wrapper tool of external service (e.g., github).