Lit Mcp
Search arXiv and DBLP from your agent while framing technical bets, literature reviews, or ML-feature scope for a new product.
Overview
lit-mcp is an MCP server for the Idea phase that lets agents query arXiv and DBLP to accelerate academic literature research.
What is this MCP server?
- stdio MCP server packaged as lit-mcp on PyPI
- arXiv and DBLP query paths for CS and STEM literature
- Version 1.0.0 literature-focused tool surface
- Accelerates LLM-grounded literature review in the IDE
- Lightweight fit for validate-stage prototype literature checks
- Server version 1.0.0
- 2 literature sources named in description (arXiv, DBLP)
- PyPI registry package identifier lit-mcp
What problem does it solve?
Builders sketching ML or research-heavy products lack quick, agent-native access to canonical paper indexes during early scoping.
Who is it for?
Solo builders doing technical discovery, competitive science scans, or RAG feature planning who want stdio MCP on PyPI.
Skip if: Legal citation workflows, paywalled journal full-text, or production scholarly search UIs without additional infrastructure.
What do I get? / Deliverables
Your agent can pull arXiv and DBLP results in-thread so literature-backed notes and validate hypotheses land faster.
- Agent-retrieved paper lists and metadata from arXiv and DBLP
- Research memos grounded in searchable bibliographic sources
- Inputs for validate prototypes or technical blog outlines
Recommended MCP Servers
Journey fit
Idea-phase builders need primary sources before they overbuild; academic indexes reduce guesswork about what is already published and feasible. Research subphase is for discovering papers and bibliographic metadata, not for shipping citation UI or production RAG pipelines.
How it compares
Academic index MCP connector, not a Zotero GUI skill or vector database product.
Common Questions / FAQ
Who is lit-mcp for?
Indie developers and technical founders who use AI agents to explore arXiv and DBLP while deciding what to build or cite in docs.
When should I use lit-mcp?
Use it in idea and validate research when you need papers, venues, or author graphs before committing engineering time.
How do I add lit-mcp to my agent?
Install the lit-mcp PyPI package and add a stdio MCP server entry pointing at that executable in your Claude Code, Cursor, or Codex MCP settings.