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Glama

Cursor10x MCP

storeRequirement

Store project requirements with title, content, importance level, and optional metadata in long-term memory for AI systems to retain and recall information effectively.

Instructions

Stores a project requirement in the long-term memory

Input Schema

NameRequiredDescriptionDefault
contentYesContent of the requirement
importanceNoImportance level (low, medium, high)medium
metadataNoOptional metadata for the requirement
titleYesTitle of the requirement

Input Schema (JSON Schema)

{ "properties": { "content": { "description": "Content of the requirement", "type": "string" }, "importance": { "default": "medium", "description": "Importance level (low, medium, high)", "type": "string" }, "metadata": { "additionalProperties": true, "description": "Optional metadata for the requirement", "type": "object" }, "title": { "description": "Title of the requirement", "type": "string" } }, "required": [ "title", "content" ], "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/aurda012/cursor10x-mcp'

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