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https://github.com/langgenius/dify.git
synced 2026-05-06 02:18:08 +08:00
feat: mcp tool add input schema
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@ -88,7 +88,7 @@ class MCPToolManageService:
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icon=mcp_provider.icon,
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author=mcp_provider.user.name if mcp_provider.user else "Anonymous",
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server_url=mcp_provider.server_url,
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updated_at=mcp_provider.updated_at,
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updated_at=int(mcp_provider.updated_at.timestamp()),
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description=I18nObject(en_US="", zh_Hans=""),
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label=I18nObject(en_US=mcp_provider.name, zh_Hans=mcp_provider.name),
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)
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@ -119,7 +119,6 @@ class MCPToolManageService:
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icon: str,
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icon_type: str,
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icon_background: str,
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encrypted_credentials: dict,
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):
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mcp_provider = cls.get_mcp_provider_by_provider_id(provider_id, tenant_id)
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if mcp_provider is None:
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@ -129,7 +128,6 @@ class MCPToolManageService:
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mcp_provider.icon = (
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json.dumps({"content": icon, "background": icon_background}) if icon_type == "emoji" else icon
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)
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mcp_provider.encrypted_credentials = json.dumps({**mcp_provider.credentials, **encrypted_credentials})
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db.session.commit()
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return {"result": "success"}
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@ -1,6 +1,6 @@
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import json
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import logging
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from typing import Optional, Union, cast
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from typing import Any, Optional, Union, cast
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from yarl import URL
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@ -201,7 +201,7 @@ class ToolTransformService:
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tools=ToolTransformService.mcp_tool_to_user_tool(
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db_provider, [MCPTool(**tool) for tool in json.loads(db_provider.tools)]
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),
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updated_at=db_provider.updated_at,
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updated_at=int(db_provider.updated_at.timestamp()),
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label=I18nObject(en_US=db_provider.name, zh_Hans=db_provider.name),
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description=I18nObject(en_US="", zh_Hans=""),
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)
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@ -347,8 +347,11 @@ class ToolTransformService:
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:return: list of ToolParameter instances
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"""
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def create_parameter(name: str, description: str, param_type: str, required: bool) -> ToolParameter:
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def create_parameter(
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name: str, description: str, param_type: str, required: bool, input_schema: dict | None = None
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) -> ToolParameter:
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"""Create a ToolParameter instance with given attributes"""
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input_schema_dict: dict[str, Any] = {"input_schema": input_schema} if input_schema else {}
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return ToolParameter(
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name=name,
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llm_description=description,
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@ -357,36 +360,27 @@ class ToolTransformService:
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required=required,
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type=ToolParameter.ToolParameterType(param_type),
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human_description=I18nObject(en_US=description),
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**input_schema_dict,
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)
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def process_array(name: str, description: str, items: dict, required: bool) -> list[ToolParameter]:
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"""Process array type properties"""
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item_type = items.get("type", "string")
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if item_type == "object" and "properties" in items:
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return process_properties(items["properties"], items.get("required", []), f"{name}[0]")
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return [create_parameter(name, description, item_type, required)]
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def process_properties(props: dict, required: list, prefix: str = "") -> list[ToolParameter]:
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"""Process properties recursively"""
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TYPE_MAPPING = {"integer": "number"}
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COMPLEX_TYPES = ["array", "object"]
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parameters = []
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for name, prop in props.items():
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current_name = f"{prefix}.{name}" if prefix else name
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current_description = prop.get("description", "")
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prop_type = prop.get("type", "string")
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if isinstance(prop_type, list):
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prop_type = prop_type[0]
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if prop_type == "integer":
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prop_type = "number"
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if prop_type == "array":
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parameters.extend(
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process_array(current_name, current_description, prop.get("items", {}), name in required)
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)
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elif prop_type == "object" and "properties" in prop:
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parameters.extend(process_properties(prop["properties"], prop.get("required", []), current_name))
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else:
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parameters.append(create_parameter(current_name, current_description, prop_type, name in required))
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if prop_type in TYPE_MAPPING:
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prop_type = TYPE_MAPPING[prop_type]
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input_schema = prop if prop_type in COMPLEX_TYPES else None
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parameters.append(
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create_parameter(name, current_description, prop_type, name in required, input_schema)
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)
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return parameters
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