@Scholar Gateway
Basic information
Scholar Gateway grounds AI responses in peer-reviewed literature with verifiable citations and DOIs. Its remote MCP server lets assistants search scholarly sources and cite them precisely, supporting research workflows that require trustworthy references.
https://connector.scholargateway.ai/mcpclaude mcp add scholar-gateway --transport http https://connector.scholargateway.ai/mcpSearches a full-text academic corpus and returns relevant passages with citation metadata. Use for research questions, factual claims, literature-backed explanations, evidence-based summaries, and in any responses where academic support would improve accuracy, credibility, or depth. Submit queries as complete natural language questions, preserving the full intent — do not reduce to keywords. For ambiguous or polysemous terms, always expand to their full context before searching: use "multiple sclerosis" not "MS", "Java programming language" not "Java". Prefer precise scientific or clinical terminology over colloquial terms: use "rhinovirus upper respiratory tract infection" rather than "common cold". Cite all substantive claims inline using author-year format with DOI hyperlinks. If no results are returned, broaden the query or try an alternative framing — do not retry the same query.
The Scholar Gateway remote MCP server is a hosted Model Context Protocol endpoint at https://connector.scholargateway.ai/mcp, so AI assistants can connect to it without installing or running anything locally.
Add the endpoint https://connector.scholargateway.ai/mcp to any MCP-compatible client such as Claude Code, Cursor, or VS Code. The setup snippets on this page configure each client in one step.
Yes. Scholar Gateway uses OAuth: the first time you connect, your MCP client opens a browser window to sign in and authorize access, then reuses the credentials for future sessions.
Scholar Gateway exposes a Streamable HTTP endpoint, the transport used by remote MCP servers and supported by all major MCP clients.
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