# Eternity MCP

> Use this tool when you need to persist and retrieve contextual information across AI sessions, solving problems of data loss and inconsistent responses. Eternity MCP provides a local memory server for long-term semantic storage and retrieval of text, chat histories, and PDF documents. It offers a Model Context Protocol interface for input and output, ideal for use cases requiring secure and private data management for large language models.

Canonical page: https://skillsregistry.net/skills/danttis-eternity-mcp  
JSON: https://api.skillsregistry.net/v1/skills/danttis-eternity-mcp

## Description

A privacy-focused local memory server that provides long-term semantic storage and retrieval for AI agents using SQLite and ChromaDB. It enables LLMs to persist and query text, chat histories, and PDF documents across sessions through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kmdfs1rwvi)
- **Repository:** <https://github.com/danttis/eternity-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": "danttis-eternity-mcp"
    }
  }
}
```

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