# Cursor10x MCP

> Use this tool when you need to enhance AI assistants' memory capabilities, enabling them to retain and recall short-term, long-term, and episodic memory autonomously. The Cursor10x Memory System solves problems of knowledge retention and recall, allowing AI agents to learn from interactions and maintain context. It integrates with AI assistants like Claude, providing a persistent memory layer that accepts input from user interactions and outputs recalled information to inform future responses.

Canonical page: https://skillsregistry.net/skills/aiurda-cursor10x-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aiurda-cursor10x-mcp

## Description

The Cursor10x Memory System creates a persistent memory layer for AI assistants (specifically Claude), enabling them to retain and recall short-term, long-term and episodic memory on autonomously.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kp8cg6inwq)
- **Repository:** <https://github.com/aiurda/cursor10x-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aiurda-cursor10x-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aiurda-cursor10x-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aiurda-cursor10x-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt