# Memory Context MCP Server

> Use this tool when you need to enhance language models with persistent and semantic memory, enabling them to recall and build upon previous interactions. The Memory Context MCP Server solves problems of knowledge retention and contextual understanding in LLMs, allowing for more accurate and informed responses. It takes in model inputs and outputs vector search results via ChromaDB, ideal for use cases requiring long-term memory and context retention.

Canonical page: https://skillsregistry.net/skills/amoghsamadhiya779-afk-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/amoghsamadhiya779-afk-mcp-server

## Description

A Model Context Protocol (MCP) server that gives LLMs persistent, semantic memory using vector search with ChromaDB.

## Trust

- **Trust score (0–1):** 0.69
- **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/hhvgb60f24)
- **Repository:** <https://github.com/amoghsamadhiya779-afk/MCP-SERVER>

## 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": "amoghsamadhiya779-afk-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/amoghsamadhiya779-afk-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/amoghsamadhiya779-afk-mcp-server/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