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smaniches/semantic-scholar-mcp

smaniches/semantic-scholar-mcp

Semantic Scholar MCP server: 14 typed tools for paper search, citation graphs, author profiles, recommendations, PyPI/Docker.
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add semantic-scholar-mcp -- npx -y semantic-scholar-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
23 ★ · smaniches/semantic-scholar-mcp · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
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综合分 703 · 23 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 smaniches/semantic-scholar-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Semantic Scholar MCP Server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**A 14-tool Semantic Scholar MCP server for academic research workflows.** Direct access to 200M+ papers from Semantic Scholar — paper search, citation graph traversal, author profiles, and recommendations — from any Model Context Protocol client (e.g., Claude Desktop, Claude Code, Cursor, Cline, Continue, and others).
Every release ships **verifiable supply-chain provenance**: Sigstore-signed SLSA build-provenance attestations on the wheel, sdist, and container image; PEP 740 attestations on the PyPI upload; and a CycloneDX SBOM — so you can prove the artifact you installed was built from this repo. See Provenance & supply chain.
> Author: **Santiago Maniches** · ORCID 0009-0005-6480-1987 · TOPOLOGICA LLC
**Research authorship:** Santiago Maniches independently directs and maintains this project and is the sole scientific author of its research contributions. AI-assisted tools have supported coding, documentation, and internal review; they do not constitute scientific coauthors or independent validation. Semantic Scholar content and reused software and methods are attributed to their respective sources.
---
Quick start
No API key is needed to start. Set SEMANTIC_SCHOLAR_API_KEY to use your
assigned Semantic Scholar quota and avoid the shared unauthenticated pool.
Semantic Scholar currently assigns introductory API keys a 1 request/second
limit across all endpoints. Claude Desktop, Docker, pip, and remote
(Streamable HTTP) setups are in Installation.
---
Provenance & supply chain
A research tool is only as trustworthy as the chain from its source to the
binary you run. Every release of this server ships cryptographically
verifiable supply-chain evidence, all generated in CI from the tagged commit:
| Guarantee | What it proves | Where it is produced |
|---|---|---|
| **SLSA build provenance** (wheel + sdist) | the published distributions were built by this repo's publish.yml from the released tag, not hand-uploaded | publish.yml — actions/attest-build-provenance (build job) |
| **SLSA build provenance** (container image) | the ghcr.io image digest was built by this repo's docker.yml | docker.yml — actions/attest-build-provenance, push-to-registry (lines 141–147) |
| **PEP 740 attestations** | the PyPI upload itself carries Sigstore-backed attestations under Trusted Publishing | publish.yml — attestations: true (publish-pypi job) |
| **CycloneDX SBOM** | a machine-readable bill of materials, generated in an unprivileged job from the exact wheel's statically resolved dependency metadata (wheels only, none of it executed), SHA-256-bound to that wheel, then attested against the wheel alone | publish.yml — cyclonedx-py + scripts/release_sbom.py (sbom job) + actions/attest-sbom (attest-sbom job) |
| **SHA-pinned Actions** | every CI action is pinned to a commit SHA, so the release pipeline itself cannot silently change | all jobs in .github/workflows/ (e.g. publish.yml, docker.yml) |
Verify the wheel and the container image against their attestations with the
GitHub CLI:
The full supply-chain posture, including the known-limitations list, is in
SECURITY.md. This is **release-time** provenance (proving how
the artifact was built); the server does not currently attach a per-response
receipt to individual API results.
---
How it compares
There is no public Semantic Scholar MCP standard, so the most useful
comparison is against the obvious alternative: calling the
Semantic Scholar REST API yourself from an
agent. Everything in the right-hand column is plumbing this server already owns
and the caller would otherwise reimplement.
| | This server | Raw S2 REST API from an agent |
|---|---|---|
| Tool surface | 14 typed MCP tools (search, retrieval, recommendations, status) | caller composes raw HTTP requests |
| Citation graph | both directions (citations and references) in get_paper | manual paging over two endpoints |
| Bulk operations | papers (≤500) and authors (≤1000) in one call | caller batches and paginates |
| Full-text snippet search | snippet_search with surrounding context | separate endpoint, caller-assembled |
| Paper-ID resolution | seven formats — Semantic Scholar ID, DOI, ArXiv, PubMed, Corpus ID, ACL, URL — validated pre-flight (validators.py) | caller normalizes and validates IDs |
| Rate limiting | client-side limiter with a conservative S2-compatible authenticated default and configurable assigned quota (client.py) | caller throttles by hand |
| Retry / backoff | bounded, jittered retry on 429/502/503/timeout, honors Retry-After (client.py) | caller implements retry |
来源
awesome · https://github.com/smaniches/semantic-scholar-mcp
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