Skip to main content
Glama
alimov-andrey

Google Scholar MCP Server

by alimov-andrey
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
CORE_API_KEYNoAPI key for CORE API (optional, for full-text access)
SERPAPI_API_KEYYesAPI key for SerpAPI (required for Google Scholar search)

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

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tasks
{
  "list": {},
  "cancel": {},
  "requests": {
    "tools": {
      "call": {}
    },
    "prompts": {
      "get": {}
    },
    "resources": {
      "read": {}
    }
  }
}
tools
{
  "listChanged": true
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
search_articlesA

Search for academic articles on Google Scholar.

Returns articles with title, authors, year, citation count, and links. Use citation_id for get_citations and cluster_id for get_article_versions.

get_citationsA

Get articles that cite a specific paper.

Use the citation_id from search_articles results.

get_article_versionsA

Get all versions of a specific article from different sources.

Use the cluster_id from search_articles results.

get_fulltextA

Get full text of an Open Access article via CORE API.

Provide at least one identifier: DOI, title, or CORE ID. Returns full text if available, otherwise abstract and download link.

search_open_accessA

Search for Open Access articles with full-text available.

Returns articles from CORE aggregator with direct download links.

ask_research_questionA

Answer a research question using evidence from Open Access papers.

Searches CORE API for relevant papers and returns abstracts and text snippets as evidence. Use this for literature review and evidence-based answers. The AI will synthesize the answer from the returned sources.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/alimov-andrey/google-scholar-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server