Data · Remote MCP server

HasData Google Scholar

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

Visit HasData Google Scholar's website

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
com.hasdata/google-scholar
Version
1.0.2
Status
Active
Category
data
Transport
Streamable HTTP, stdio (local process)
Package
npm, PyPI
Published
2026-09-24
Updated
2026-09-24
Publisher
com.hasdata · 26 servers with pages here
Website
docs.hasdata.com/apis/google-scholar/scholar
Repository
github.com/HasData/google-scholar-mcp
Source
Registry API entry

Remote endpoints

TransportURLHeaders declared
Streamable HTTPhttps://mcp.hasdata.com/mcp?apis=google_scholarx-api-key (required, secret)

Packages

RegistryPackageVersionTransportEnvironment variables
npm@hasdata/google-scholar-mcp1.0.2stdioHASDATA_API_KEY (required, secret)
PyPIruntime: uvxhasdata-google-scholar-mcp1.0.2stdioHASDATA_API_KEY (required, secret)

How to connect HasData Google Scholar

HasData Google Scholar is a remote MCP server: there is nothing to install. Its endpoint is https://mcp.hasdata.com/mcp?apis=google_scholar, served over Streamable HTTP. In an assistant that accepts remote MCP servers (often under a setting named connectors, integrations or tools), add a new server and give it this URL; in a client configured by file, add it as a remote (HTTP) server with the same URL.

The registry entry declares an HTTP header for the connection: x-api-key (required, secret). A secret header usually carries an API key or token issued by the service; clients that accept custom headers set it with the server's URL.

It can also run locally from a Node.js package published to the npm registry: @hasdata/google-scholar-mcp version 1.0.2. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Node.js; clients usually start it with npx — the usual command is npx -y @hasdata/google-scholar-mcp@1.0.2. It reads the environment variable HASDATA_API_KEY (required, secret); set it in the client's configuration for this server.

It can also run locally from a Python package published to PyPI: hasdata-google-scholar-mcp version 1.0.2. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx hasdata-google-scholar-mcp. It reads the environment variable HASDATA_API_KEY (required, secret); set it in the client's configuration for this server.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "google-scholar": {
      "command": "npx",
      "args": [
        "-y",
        "@hasdata/google-scholar-mcp@1.0.2"
      ],
      "env": {
        "HASDATA_API_KEY": "<secret>"
      }
    }
  }
}

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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