# LLM Memory MCP Server

> Use this tool when you need to unify the cognitive capabilities of AI assistants across platforms, enabling them to share and recall knowledge, preferences, and conversation history. It solves problems of fragmented memory and inconsistent user experiences, providing a unified interface for inputting and outputting contextual information. This server is ideal for use cases requiring seamless continuity and personalized interactions across multiple AI-powered applications.

Canonical page: https://skillsregistry.net/skills/ranjanjyoti152-llm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ranjanjyoti152-llm-mcp

## Description

Enables AI assistants across platforms to share memory, recall facts, preferences, and conversation history, creating a unified cognitive system.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jp3iwlqtxl)
- **Repository:** <https://github.com/ranjanjyoti152/LLM-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": "ranjanjyoti152-llm-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ranjanjyoti152-llm-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ranjanjyoti152-llm-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