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Semantic Scholar

This Semantic Scholar MCP server, developed by an unnamed creator, provides a robust interface to the Semantic Scholar Academic Graph API. Built with Python using FastMCP and httpx, it offers tools for paper search, citation analysis, author information retrieval, and paper recommendations. The server implements advanced features like complex filtering, customizable ranking strategies, and efficient batch operations. By abstracting Semantic Scholar API operations into a standardized MCP format, it enables AI systems to easily access and analyze academic literature at scale. This implementation is particularly valuable for research and academic applications, facilitating use cases such as literature reviews, trend analysis, citation network exploration, and personalized paper recommendations.

Cognium trust score

64%

Tier

Scanned

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: search
Source: PulseMCP
Repository: github.com/zongmin-yu/semantic-scholar-fastmcp-mcp-server
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

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MCP

Resolve Semantic Scholar 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"