Skip to main content
Glama

Fujitsu Social Digital Twin MCP Server

by 3a3

create_simulation_from_usecase

Generate and run simulations based on specified use cases and uploaded files to analyze human and social behavior in digital spaces using Fujitsu Social Digital Twin MCP Server.

Instructions

指定されたユースケースとアップロードされたファイルからシミュレーションを作成・実行します。

Input Schema

NameRequiredDescriptionDefault
ctxNo
simulation_paramsYes
uploaded_filesYes
usecaseYes

Input Schema (JSON Schema)

{ "$defs": { "Context": { "description": "Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP's RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\n@server.tool()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f\"Processing {x}\")\n ctx.debug(\"Debug info\")\n ctx.warning(\"Warning message\")\n ctx.error(\"Error message\")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource(\"resource://data\")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it's annotated with Context.\nThe context is optional - tools that don't need it can omit the parameter.", "properties": {}, "title": "Context", "type": "object" } }, "properties": { "ctx": { "anyOf": [ { "$ref": "#/$defs/Context" }, { "type": "null" } ], "default": null }, "simulation_params": { "additionalProperties": true, "title": "Simulation Params", "type": "object" }, "uploaded_files": { "additionalProperties": { "type": "string" }, "title": "Uploaded Files", "type": "object" }, "usecase": { "title": "Usecase", "type": "string" } }, "required": [ "usecase", "uploaded_files", "simulation_params" ], "title": "create_simulation_from_usecaseArguments", "type": "object" }

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/3a3/fujitsu-sdt-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server