papersflow-ai/papersflow-mcp
by Various
papersflow-mcp is PapersFlow’s production MCP server for literature search, citation verification, related-paper discovery, and authenticated research workflows across Claude, Code
MCP
papersflow-ai/papersflow-mcp
Added 1 June 2026
Overview
papersflow-mcp is a production MCP server for literature search, citation verification, related-paper discovery, and authenticated research workflows. It integrates with Claude, Codex, Gemini, and other MCP clients to provide structured access to academic paper data.
Best for
Best for
Developers building AI-assisted research tools or integrating literature search into MCP workflows
Use cases
- Searching academic literature for relevant papers
- Verifying citations in research drafts
- Discovering related papers from a given reference
Notes
papersflow-mcp is a production MCP server for literature search, citation verification, related-paper discovery, and authenticated research workflows. It integrates with Claude, Codex, Gemini, and other MCP clients to provide structured access to academic paper data.
9 stars on GitHub. Last updated 2026-03-11. Licensed MIT.
Use cases
- Searching academic literature for relevant papers
- Verifying citations in research drafts
- Discovering related papers from a given reference
Pros
- Supports multiple MCP clients including Claude, Codex, and Gemini
- Covers core research tasks like search, citation check, and discovery
- Open source with a production-ready server implementation
Cons
- Low GitHub star count (9) indicates limited community adoption
- May depend on external APIs or databases for paper data
- Documentation and usage examples are sparse
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Supports multiple MCP clients including Claude, Codex, and Gemini
- Covers core research tasks like search, citation check, and discovery
- Open source with a production-ready server implementation
Cons
- Low GitHub star count (9) indicates limited community adoption
- May depend on external APIs or databases for paper data
- Documentation and usage examples are sparse
Pairs with
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