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Google Scholar
Search Google Scholar papers.
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About
Auto-generated
Google Scholar is a Model Context Protocol server in the Search & Web category. It lets AI assistants that speak MCP call its tools and read its resources over STDIO.
Example tools
Illustrative tool names — the actual tool set is defined by the server at runtime.
web_search
Search the web and return top results
fetch_url
Fetch and return the contents of a URL
Screenshots
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Frequently Asked Questions
Common questions about Google Scholar.
- What is the primary function of the Google Scholar MCP?
- The Google Scholar MCP allows users to search for academic papers and research articles available through Google Scholar. It integrates Google Scholar's search capabilities directly into MCP-compatible clients, facilitating academic research workflows.
- How can I install the Google Scholar MCP in an MCP client like Cline?
- Installation in Cline typically involves adding the MCP's repository URL to Cline's configuration. Since this MCP uses the 'stdio' transport, a local agent implementation is usually required. Refer to your client's documentation for specific installation steps.
- Does the Google Scholar MCP require API keys or other authentication?
- No, the Google Scholar MCP is listed with 'Auth type: none', indicating it does not require API keys, OAuth, or other explicit credentials for basic operation. It leverages public access to Google Scholar data.
- What are the key capabilities exposed by the Google Scholar MCP?
- While specific tools are not listed, the MCP's description implies capabilities for searching Google Scholar. This typically includes querying for papers, authors, and potentially retrieving metadata like abstracts or citations based on Google Scholar's public interface.
- Is there a cost associated with using the Google Scholar MCP?
- The Google Scholar MCP itself is provided by the Community and has no stated cost. However, its usage is subject to Google Scholar's terms of service, which are free for non-commercial use. Any costs would depend on the underlying Google Scholar service.
- What is a common limitation or prerequisite for using this MCP effectively?
- A common prerequisite for 'stdio' transport MCPs is the need for a local execution environment to run the underlying script or application. Users must ensure their system can execute the Python-based implementation found in the provided repository.
Install Google Scholar
Claude Desktop
Add this to claude_desktop_config.json.
{
"mcpServers": {
"google-scholar": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-google-scholar"
]
}
}
}Cursor
Add this to ~/.cursor/mcp.json.
{
"mcpServers": {
"google-scholar": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-google-scholar"
]
}
}
}VS Code
Add this to your workspace settings.json.
{
"mcp.servers": {
"google-scholar": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-google-scholar"
]
}
}
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