Google Scholar search results, citation counts and citation export formats, as structured JSON.
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.
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.
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.
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.
| Field | Value |
|---|---|
| URL | https://mcp.hasdata.com/mcp?apis=google_scholar |
| Transport | HTTP, streamable |
| Auth header | x-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.
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:
For Python instead of Node, swap the launcher for the PyPI package, which uvx runs without a manual install:
~/.cursor/mcp.json for every project, or .cursor/mcp.json for one:
~/.codeium/windsurf/mcp_config.json. Windsurf calls the field serverUrl, not url:
.vscode/mcp.json in the workspace:
Each of these lands on one tool, or on two in sequence when the second needs an id the first returns.
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.
| Tool | What it returns |
|---|---|
hasdata_google_scholar_cite_getScholarCitationFormats | Formatted citation snippets (MLA, APA, Chicago, Harvard, Vancouver) and reference-manager export links (BibTeX, EndNote, RefMan, RefWorks). 10 credits a call |
hasdata_google_scholar_scholar_getScholarSearchResults | Each 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.
hasdata_google_scholar_scholar_getScholarSearchResults
A page of Scholar results.
| Parameter | Type | Required | Notes |
|---|---|---|---|
q | string | yes | The query. Scholar operators such as author: and source: work here |
asYlo / asYhi | number | Published from and up to these years | |
start | number | Result offset, where 0 is the first result | |
num | number | Results per page | |
scisbd | number | 1 sorts abstracts by date, 2 sorts everything by date. Omit for relevance | |
cites | string | Find articles citing this one, using a citedBy.citesId | |
cluster | string | Find every indexed version of an article, using a versions.clusterId | |
asSdt | string | Search type, 0,5 for articles, 4 for case law, 0 or 7 for patents | |
asRr | number | 1 returns review articles only | |
asVis | number | 1 excludes citations, 0 includes them | |
hl | string | Interface language, one of 159 | |
lr | array | Restrict to these content languages | |
safe | string | active or off | |
filter | number | 1 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.
hasdata_google_scholar_cite_getScholarCitationFormats
The citation block for one paper.
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