# Literature Memory

> Use this tool when you need to manage and integrate academic sources with knowledge graphs, solving problems such as literature reviews, citation network analysis, and knowledge base construction. It takes in various source types like papers, books, and webpages, and outputs structured notes and entity relationships. Ideal for researchers and knowledge workers, it provides a comprehensive system for tracking sources, taking notes, and analyzing academic content in academic and professional settings.

Canonical page: https://skillsregistry.net/skills/yuzongmin-literature-memory  
JSON: https://api.skillsregistry.net/v1/skills/yuzongmin-literature-memory

## Description

This Literature Management MCP server, developed by an unnamed creator, provides a comprehensive system for managing academic sources and integrating them with knowledge graphs. Built with Python using FastMCP and SQLite, it offers tools for source tracking, note-taking, and entity linking across various source types like papers, books, and webpages. The server implements features such as flexible identifier management, structured note organization, and bidirectional entity relationships. By bridging literature management with knowledge graphs, it enables AI systems to efficiently analyze and contextualize academic sources. This implementation is particularly valuable for researchers and knowledge workers, facilitating use cases such as literature reviews, citation network analysis, and knowledge base construction in academic and professional settings.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/yuzongmin-literature-memory)
- **Repository:** <https://github.com/zongmin-yu/literature-memory-server-fastmcp-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": "yuzongmin-literature-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yuzongmin-literature-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yuzongmin-literature-memory/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