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  1. Home
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  3. HasData Google Scholar
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HasData Google Scholar

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Google Scholar search results, citation counts and citation export formats, as structured JSON.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for HasData Google Scholar, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Documentation Overview

Google Scholar MCP Server

A hosted Model Context Protocol (MCP) server that gives Claude, Cursor, Windsurf and any other MCP client two read-only Google Scholar tools. Search the literature with Scholar's own operators, year ranges and cited-by lookups, then pull a paper's citation in five styles with its BibTeX and EndNote export links, both as structured JSON, with nothing to host.

It reads public Google Scholar pages that a signed-out visitor can see.

1,000 free credits every month, no card required, which is 100 Scholar calls at the 10-credit rate.

Code
https://mcp.hasdata.com/mcp?apis=google_scholar

Glama score tool contract MCP Tools npm PyPI License

Contents

  • What you need
  • Quick start
  • Example prompts
  • Tools
  • Errors and failure paths
  • Pricing, free tier and limits
  • Tool selection
  • How it compares
  • FAQ
  • HasData links
  • Development
  • Contributing
  • License

What you need

An MCP client and a HasData API key from the dashboard, free to create with no card, and the free tier covers about 100 calls a month at the 10-credit rate. This is a remote server, so the simplest path is a URL and an x-api-key header, with no container to run. A client that only speaks stdio reaches it through a thin launcher, published as @hasdata/google-scholar-mcp on npm and hasdata-google-scholar-mcp on PyPI, shown below.

Quick start

The server URL is the same for every client. We run it hands-on in Claude Code and Claude Desktop. The other blocks follow each client's own documented format for a remote server.

FieldValue
URLhttps://mcp.hasdata.com/mcp?apis=google_scholar
TransportHTTP, streamable
Auth headerx-api-key: HASDATA_API_KEY

Clients with OAuth support can add the same URL as a connector and sign in without putting a key in a config file.

Claude Code
Terminal
claude mcp add --transport http google-scholar "https://mcp.hasdata.com/mcp?apis=google_scholar" \
  --header "x-api-key: HASDATA_API_KEY"
Claude Desktop

Settings, then Connectors, then Add custom connector, then paste https://mcp.hasdata.com/mcp?apis=google_scholar and sign in.

For the config-file route, Claude Desktop loads only local (stdio) servers, so it reaches a remote server through a stdio launcher. The @hasdata/google-scholar-mcp package is that launcher, and it reads the key from the environment. Add this to claude_desktop_config.json:

config.json
{
  "mcpServers": {
    "google-scholar": {
      "command": "npx",
      "args": ["-y", "@hasdata/google-scholar-mcp"],
      "env": { "HASDATA_API_KEY": "YOUR_KEY" }
    }
  }
}

For Python instead of Node, swap the launcher for the PyPI package, which uvx runs without a manual install:

config.json
{
  "mcpServers": {
    "google-scholar": {
      "command": "uvx",
      "args": ["hasdata-google-scholar-mcp"],
      "env": { "HASDATA_API_KEY": "YOUR_KEY" }
    }
  }
}
Cursor

~/.cursor/mcp.json for every project, or .cursor/mcp.json for one:

config.json
{
  "mcpServers": {
    "google-scholar": {
      "url": "https://mcp.hasdata.com/mcp?apis=google_scholar",
      "headers": { "x-api-key": "HASDATA_API_KEY" }
    }
  }
}
Windsurf

~/.codeium/windsurf/mcp_config.json. Windsurf calls the field serverUrl, not url:

config.json
{
  "mcpServers": {
    "google-scholar": {
      "serverUrl": "https://mcp.hasdata.com/mcp?apis=google_scholar",
      "headers": { "x-api-key": "HASDATA_API_KEY" }
    }
  }
}
VS Code

.vscode/mcp.json in the workspace:

config.json
{
  "servers": {
    "google-scholar": {
      "type": "http",
      "url": "https://mcp.hasdata.com/mcp?apis=google_scholar",
      "headers": { "x-api-key": "HASDATA_API_KEY" }
    }
  }
}

Example prompts

Each of these lands on one tool, or on two in sequence when the second needs an id the first returns.

  • Find papers on transformer architectures published since 2023 and sort them by citation count.
  • Who has cited this paper, and how has that grown year on year?
  • Give me the BibTeX for this paper.
  • Find review articles only on this topic, excluding citations without full records.
  • Show me every indexed version of this paper and which of them have a PDF.
  • Find recent work by this author on this topic.

A prompt naming a paper takes two calls, one search to reach its resultId and one citation lookup. A prompt about who cites a paper also takes two, because the second call reuses citedBy.citesId from the first.

Tools

ToolWhat it returns
hasdata_google_scholar_cite_getScholarCitationFormatsFormatted citation snippets (MLA, APA, Chicago, Harvard, Vancouver) and reference-manager export links (BibTeX, EndNote, RefMan, RefWorks). 10 credits a call
hasdata_google_scholar_scholar_getScholarSearchResultsEach organic result with title, link, snippet, publication info (authors with profile links), cited-by count and link, related-articles link, and all-versions count and…. 10 credits a call

Two tools, 10 credits per successful call.

Get Scholar search results

hasdata_google_scholar_scholar_getScholarSearchResults

A page of Scholar results.

ParameterTypeRequiredNotes
qstringyesThe query. Scholar operators such as author: and source: work here
asYlo / asYhinumberPublished from and up to these years
startnumberResult offset, where 0 is the first result
numnumberResults per page
scisbdnumber1 sorts abstracts by date, 2 sorts everything by date. Omit for relevance
citesstringFind articles citing this one, using a citedBy.citesId
clusterstringFind every indexed version of an article, using a versions.clusterId
asSdtstringSearch type, 0,5 for articles, 4 for case law, 0 or 7 for patents
asRrnumber1 returns review articles only
asVisnumber1 excludes citations, 0 includes them
hlstringInterface language, one of 159
lrarrayRestrict to these content languages
safestringactive or off
filternumber1 keeps Google's similar and omitted result filters, 0 drops them

Returns searchInformation with totalResults, queryDisplayed and the time Scholar reported, an organicResults array, and pagination.

Each result carries position, resultId, title, link, snippet, a publicationInfo object, a resources array, citedBy, versions, relatedPagesLink and citeHasdataLink.

publicationInfo.authors is the part worth knowing about. Alongside the raw summary line it lists the authors Scholar has profiles for, each with a name, a profile link and an authorId, which is how you follow one author rather than parsing a byline.

citedBy and versions are the two ids that make this tool compose with itself. citedBy.citesId goes back into cites to walk a citation graph, and versions.clusterId goes into cluster to see every indexed copy of the same paper.

config.json
{
  "position": 1,
  "resultId": "A7L9JolPKkoJ",
  "title": "A historical survey of advances in transformer architectures",
  "link": "https://www.mdpi.com/2076-3417/14/10/4316",
  "snippet": "… of the Vision Transformer (ViT) opening a new realm of architectures which build … transformer architecture, it becomes pertinent to examine in detail the architecture of the transformer …",
  "publicationInfo": {
    "summary": "AR Sajun, I Zualkernan, D Sankalpa - Applied Sciences, 2024 - mdpi.com",
    "authors": [
      { "name": "AR Sajun", "authorId": "k6zWX4EAAAAJ", "link": "https://scholar.google.com/citations?user=k6zWX4EAAAAJ&hl=en" }
    ]
  },
  "resources": [{ "fileFormat": "Html", "title": "mdpi.com", "link": "https://www.mdpi.com/2076-3417/14/10/4316" }],
  "citedBy": { "total": 97, "citesId": "5344171358311789059" },
  "versions": { "total": 7, "clusterId": "5344171358311789059" }
}

Get Scholar citation formats

hasdata_google_scholar_cite_getScholarCitationFormats

The citation block for one paper.

Read the full README →View source on GitHub →

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Reviews

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Frequently Asked Questions about HasData Google Scholar

We don't have a confirmed install command for HasData Google Scholar yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/HasData/google-scholar-mcp) for the current steps.

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Technical Specs & Signals

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Last updatedSep 28, 2026
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27Quality signal: Emerging · 27/100How this signal is calculated ▾
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Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

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