What identifier types are supported?
Supported types: `semantic_scholar`, `doi`, `arxiv`, `openalex`, `pmid`, `isbn`, `url`.
@YUZongmin
基本情報
A flexible system for managing various types of sources (papers, books, webpages, etc.) and integrating them with knowledge graphs.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"sqlite-literature-management-fastmcp-mcp-server": {
"command": "docker",
"args": [
"build",
"-t",
"sqlite-lit-mcp",
"."
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
A lightweight FastMCP server for managing literature, notes, entity links, and reading-list resources in a local SQLite database. It is designed for researchers and users who need to organize and query their own source library without relying on an external memory graph.
Create a SQLite database from the provided schema (create_sources_db.sql), then install the FastMCP server with the database path via fastmcp install. Alternatively, run the server as a Docker container with a persistent volume. The server exposes a set of tools and resources for reading, adding, and updating sources, notes, and entity links.
Supported types: `semantic_scholar`, `doi`, `arxiv`, `openalex`, `pmid`, `isbn`, `url`.
Available types: `discusses`, `introduces`, `extends`, `evaluates`, `applies`, `critiques`, `supports`, `contradicts`, `refutes`.
No, it does not integrate with MCP Memory Server or an external memory graph.
Exact identifier matches return a "Source already exists" message. Title-based fuzzy matches warn about potential duplicates. Successful writes return results in input order.
The server requires Python with FastMCP installed. It can run locally or as a containerized stdio MCP server via Docker. The database is a local SQLite file.

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