pulsemcp Safe content atomic mcp-remote

Semantic Scholar

This MCP server provides comprehensive access to the Semantic Scholar academic search API, enabling AI assistants to search for research papers, retrieve detailed paper and author information, analyze citation networks, and discover paper recommendations. Built by Alperen Kocyigit using Python with FastMCP, it implements robust retry logic with exponential backoff for rate limiting and includes advanced features like batch operations for multiple papers/authors, text snippet search within papers, autocomplete suggestions, and ML-powered paper recommendations based on positive/negative examples. The implementation is designed for academic research workflows, literature reviews, citation analysis, and building AI research assistants that need to navigate and analyze the scholarly literature landscape.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: search
Source: PulseMCP
Repository: github.com/alperenkocyigit/semantic-scholar-graph-api
Author type: human
Updated: 2026-08-17

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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"