By pipemind-com
Semantic Scholar MCP server for academic paper search, citation graphs, and reference discovery.
A marketplace of Claude Code plugins. Install plugins once globally (~/.claude/), then use them across all your projects.
| Plugin | Description | Docs |
|---|---|---|
| spec-driven-development | Self-replicating agentic workflow factory — compiles project-specific agents for any codebase | README |
# Marketplace
claude plugin marketplace add pipemind-com/pipemind-marketplace
# Plugins
claude plugin install spec-driven-development@pipemind-marketplace
claude plugin install scientific-method@pipemind-marketplace
claude plugin install rust-lsp@pipemind-marketplace
claude plugin install typescript-lsp@pipemind-marketplace
For issues with Claude Code itself: https://github.com/anthropics/claude-code
Admin access level
Server config contains admin-level keywords
Requires secrets
Needs API keys or credentials to function
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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Sign in to claimRust LSP configuration using rust-analyzer.
Agentic workflow factory — compile project-specific planners, builders, and specialist agents for any codebase.
Domain-agnostic scientific method research loop: collaboratively refine problems, then autonomously generate and test hypotheses until solved.
TypeScript/JavaScript LSP configuration using typescript-language-server.
npx claudepluginhub pipemind-com/pipemind-marketplace --plugin mcp-semantic-scholarUse when the user needs academic paper retrieval — searching scientific literature by author/year/journal, finding paper chunks for RAG-style citations, or expanding original text around a known paper offset. Provides three Sciverse tools (search_papers, semantic_search, read_content) via the sciverse-mcp-server MCP server.
ArXiv MCP server implementation using Model Context Protocol
Oh My Paper research harness: memory system, Codex delegation, and pipeline commands for academic research projects.
Academic paper search MCP for arXiv, PubMed, IEEE, Scopus, ACM, and more. Requires Docker.
A research infrastructure for AI agents. Search, read, and analyze papers from your local knowledge base while coding. Includes arXiv discovery, layered reading, ingestion, topic modeling, citation graphs, insights analytics, Office document inspection, scientific tool docs, and academic writing workflows. Requires Python 3.10+ and pip install.
Specialized research analysis agents for critical thinking, evidence verification, synthesis, and parallel paper analysis