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Glama
LinXueyuanStdio

Academic MCP

by LinXueyuanStdio
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
SEMANTIC_SCHOLAR_API_KEYNoOptional API key for enhanced Semantic Scholar features
ACADEMIC_MCP_DOWNLOAD_PATHNoDirectory for downloaded PDFs./downloads

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
paper_searchB

Search academic papers from multiple sources.

Available sources: arxiv, PubMed, bioRxiv, medRxiv, Google Scholar, IACR ePrint Archive, Semantic Scholar, CrossRef.

Input Constraints:

  • query: 1-500 characters, required, cannot be empty

  • max_results: 1-100, default is 10

  • year: Valid formats: '2019', '2016-2020', '2010-', '-2015' (only for semantic)

  • fetch_details: boolean (only for iacr)

  • kwargs: dict (only for crossref)

Example:

paper_search([ {"searcher": "arxiv", "query": "machine learning", "max_results": 5}, {"searcher": "pubmed", "query": "cancer immunotherapy", "max_results": 3}, {"searcher": "iacr", "query": "cryptography", "max_results": 3, "fetch_details": true}, {"searcher": "semantic", "query": "climate change", "max_results": 4, "year": "2015-2020"}, {"searcher": "crossref", "query": "deep learning", "max_results": 2, "kwargs": {"filter": "from-pub-date:2020,has-full-text:true"}}, {"query": "deep learning", "max_results": 2} ])

paper_downloadA

Download academic paper PDFs from multiple sources.

Input Constraints:

  • searcher: Required, must be one of the supported platforms

  • paper_id: Required, 1-200 characters, cannot be empty

Paper ID formats:

  • arXiv: Use the arXiv ID (e.g., "2106.12345").

  • PubMed: Use the PubMed ID (PMID) (e.g., "32790614").

  • bioRxiv: Use the bioRxiv DOI (e.g., "10.1101/2020.01.01.123456").

  • medRxiv: Use the medRxiv DOI (e.g., "10.1101/2020.01.01.123456").

  • Google Scholar: Direct PDF download is not supported; please use the paper URL to access the publisher's website.

  • IACR: Use the IACR paper ID (e.g., "2009/101").

  • Semantic Scholar: Use the Semantic Scholar paper ID, Paper identifier in one of the following formats:

    • Semantic Scholar ID (e.g., "649def34f8be52c8b66281af98ae884c09aef38b")

    • DOI: (e.g., "DOI:10.18653/v1/N18-3011")

    • ARXIV: (e.g., "ARXIV:2106.15928")

    • MAG: (e.g., "MAG:112218234")

    • ACL: (e.g., "ACL:W12-3903")

    • PMID: (e.g., "PMID:19872477")

    • PMCID: (e.g., "PMCID:2323736")

    • URL: (e.g., "URL:https://arxiv.org/abs/2106.15928v1")

Returns:

List of paths to the downloaded PDF files.

Example:

paper_download([ {"searcher": "arxiv", "paper_id": "2106.12345"}, {"searcher": "pubmed", "paper_id": "32790614"}, {"searcher": "biorxiv", "paper_id": "10.1101/2020.01.01.123456"}, {"searcher": "semantic", "paper_id": "DOI:10.18653/v1/N18-3011"} ])

paper_readA

Read and extract text content from academic paper PDFs from multiple sources.

Input Constraints:

  • searcher: Required, must be one of: arxiv, pubmed, biorxiv, medrxiv, iacr, semantic, crossref

  • paper_id: Required, 1-200 characters, cannot be empty

Example:

arXiv

paper_read({"searcher": "arxiv", "paper_id": "2106.12345", "save_path": "./downloads"}) # paper_id is arXiv ID.

PubMed

paper_read({"searcher": "pubmed", "paper_id": "32790614", "save_path": "./downloads"}) # paper_id is PubMed ID (PMID).

bioRxiv

paper_read({"searcher": "biorxiv", "paper_id": "10.1101/2020.01.01.123456", "save_path": "./downloads"}) # paper_id is bioRxiv DOI.

medRxiv

paper_read({"searcher": "medrxiv", "paper_id": "10.1101/2020.01.01.123456", "save_path": "./downloads"}) # paper_id is medRxiv DOI.

IACR

paper_read({"searcher": "iacr", "paper_id": "2009/101", "save_path": "./downloads"}) # paper_id is IACR paper ID.

Semantic Scholar

paper_read({"searcher": "semantic", "paper_id": "DOI:10.18653/v1/N18-3011", "save_path": "./downloads"}) where paper_id: Semantic Scholar paper ID, Paper identifier in one of the following formats: - Semantic Scholar ID (e.g., "649def34f8be52c8b66281af98ae884c09aef38b") - DOI: (e.g., "DOI:10.18653/v1/N18-3011") - ARXIV: (e.g., "ARXIV:2106.15928") - MAG: (e.g., "MAG:112218234") - ACL: (e.g., "ACL:W12-3903") - PMID: (e.g., "PMID:19872477") - PMCID: (e.g., "PMCID:2323736") - URL: (e.g., "URL:https://arxiv.org/abs/2106.15928v1")

CrossRef

paper_read({"searcher": "crossref", "paper_id": "10.1038/s41586-020-2649-2", "save_path": "./downloads"}) # paper_id is DOI.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.9/5.0

Scored across 3 tools

Disambiguation5/5

The three tools have clearly distinct purposes: paper_download downloads PDFs, paper_read extracts text from PDFs, and paper_search searches for papers. There is no overlap in functionality, and an agent can easily differentiate between them based on their names and descriptions.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with 'paper_' as a prefix: paper_download, paper_read, and paper_search. This naming convention is uniform and predictable throughout the set.

Tool Count3/5

With only 3 tools, the server feels thin for the broad domain of academic paper management. While the tools cover basic operations (search, download, read), the scope suggests more could be included, such as tools for metadata retrieval, citation management, or paper summarization, making the count borderline for the apparent purpose.

Completeness3/5

The tools cover search, download, and text extraction, which are core operations, but there are notable gaps. For example, there is no tool for updating or managing paper metadata, handling citations, or performing advanced analyses like summarization or keyword extraction, which are common in academic workflows.

Maintenance

ActivitySlowing
ResponsivenessNo issues

Resources