SQLite Literature Manager
This Literature Management System MCP server, developed by an unnamed creator, provides a comprehensive interface for managing research papers and integrating with knowledge graphs. Built with Python using SQLite and the FastMCP library, it offers tools for flexible paper identification, structured note-taking, entity linking, and research analysis. The server implements a robust database schema with support for various literature sources and entity relationships. By abstracting literature management operations into a consistent MCP format, it enables AI systems to easily track reading progress, analyze research trends, and identify knowledge gaps. This implementation is particularly valuable for academic and research applications, facilitating use cases such as literature reviews, research planning, and knowledge graph construction.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve SQLite Literature Manager from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.