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fegizii

Semantic Scholar MCP Server

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OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

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
search_papersB
Search for academic papers using Semantic Scholar.

Args:
    query: Search query string
    limit: Maximum number of results (default: 10, max: 100)
    offset: Number of results to skip (default: 0)
    fields: Comma-separated list of fields to return
    publication_types: Filter by publication types
    open_access_pdf: Filter for papers with open access PDFs
    min_citation_count: Minimum citation count
    year: Publication year or year range (e.g., "2020-2023")
    venue: Publication venue

Returns:
    Formatted search results
get_paperC
Get detailed information about a specific paper.

Args:
    paper_id: Paper ID (can be Semantic Scholar ID, DOI, ArXiv ID, etc.)
    fields: Comma-separated list of fields to return

Returns:
    Detailed paper information
get_paper_batchB
Get information for multiple papers in a single request.

Args:
    paper_ids: Comma-separated list of paper IDs
    fields: Comma-separated list of fields to return

Returns:
    Batch paper information
search_authorsB
Search for authors by name.

Args:
    query: Author name or search query
    limit: Maximum number of results (default: 10, max: 1000)
    offset: Number of results to skip (default: 0)
    fields: Comma-separated list of fields to return

Returns:
    Formatted author search results
get_authorC
Get detailed information about a specific author.

Args:
    author_id: Author ID
    fields: Comma-separated list of fields to return

Returns:
    Detailed author information
search_snippetsC
Search for text snippets across academic papers.

Args:
    query: Search query for text snippets
    limit: Maximum number of results (default: 10, max: 100)
    offset: Number of results to skip (default: 0)

Returns:
    Text snippets from papers
get_paper_citationsA
Get papers that cite a specific paper.

Args:
    paper_id: Paper ID to get citations for
    limit: Maximum number of results (default: 10, max: 1000)
    offset: Number of results to skip (default: 0)
    fields: Comma-separated list of fields to return

Returns:
    List of citing papers
get_paper_referencesA
Get papers referenced by a specific paper.

Args:
    paper_id: Paper ID to get references for
    limit: Maximum number of results (default: 10, max: 1000)
    offset: Number of results to skip (default: 0)
    fields: Comma-separated list of fields to return

Returns:
    List of referenced papers
get_citation_contextB
Get the context in which one paper cites another.

Args:
    paper_id: ID of the paper being cited
    citing_paper_id: ID of the paper doing the citing

Returns:
    Citation context information
download_paper_pdfA
Download the PDF of a paper if available, using title as filename and setting metadata.

Args:
    paper_id: Paper ID (Semantic Scholar ID, DOI, ArXiv ID, etc.)
    download_path: Directory to save the PDF (default: ~/Downloads/semantic_scholar_papers)

Returns:
    Status message with download location or error
get_paper_pdf_infoB
Get PDF availability information for a paper.

Args:
    paper_id: Paper ID (Semantic Scholar ID, DOI, ArXiv ID, etc.)

Returns:
    PDF availability information

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

A3.7/5.0

Scored across 11 tools

Disambiguation5/5

Every tool has a clearly distinct purpose with no ambiguity. Tools are organized around specific resources (papers, authors, citations) and actions (get, search, download), making it easy for an agent to select the right tool for each task without confusion.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with perfect uniformity. The naming convention uses clear action prefixes (get_, search_, download_) followed by specific resource identifiers, creating a predictable and readable structure throughout the toolset.

Tool Count5/5

With 11 tools, this server is well-scoped for academic research purposes. Each tool earns its place by covering distinct aspects of paper discovery, author information, citation analysis, and PDF access, providing comprehensive coverage without being overwhelming.

Completeness5/5

The toolset provides complete coverage for academic research workflows. It includes paper discovery (search_papers), detailed paper information (get_paper, get_paper_batch), citation analysis (get_paper_citations, get_paper_references, get_citation_context), author research (get_author, search_authors), and PDF access (get_paper_pdf_info, download_paper_pdf), with no obvious gaps in functionality.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources