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taskqueue-mcp

generate_project_plan

Create a structured project plan and tasks using an LLM. Input a prompt, select the provider and model, and optionally attach files to generate actionable steps for your project.

Instructions

Use an LLM to generate a project plan and tasks from a prompt. The LLM will analyze the prompt and any attached files to create a structured project plan.

Input Schema

NameRequiredDescriptionDefault
attachmentsNoOptional array of paths to files to attach as context. There is no need to read the files before calling this tool!
modelYesThe specific model to use (e.g., 'gpt-4-turbo' for OpenAI).
promptYesThe prompt text or file path to use for generating the project plan.
providerYesThe LLM provider to use (requires corresponding API key to be set).

Input Schema (JSON Schema)

{ "properties": { "attachments": { "description": "Optional array of paths to files to attach as context. There is no need to read the files before calling this tool!", "items": { "type": "string" }, "type": "array" }, "model": { "description": "The specific model to use (e.g., 'gpt-4-turbo' for OpenAI).", "type": "string" }, "prompt": { "description": "The prompt text or file path to use for generating the project plan.", "type": "string" }, "provider": { "description": "The LLM provider to use (requires corresponding API key to be set).", "enum": [ "openai", "google", "deepseek" ], "type": "string" } }, "required": [ "prompt", "provider", "model" ], "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/chriscarrollsmith/taskqueue-mcp'

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