AIBase
EN
Explore
Openalex MCP Server
O

Openalex MCP Server

The OpenAlex MCP Server is an open - source project that implements the Model Configuration Protocol (MCP) to provide structured access to global academic literature for AI assistants.
Research and dataDeveloper tools#Academic Search#Literature Retrieval#AI Tools.Python
2.5 points
10.4K
Open Site

Overview

Content Details

Alternatives

What is OpenAlex MCP Server?

The OpenAlex MCP Server acts as a bridge between AI systems and the comprehensive OpenAlex academic database. It enables intelligent agents to search and analyze scholarly publications, researcher profiles, institutional data, and citation networks through a standardized protocol.

How does it work?

The server implements the Model Configuration Protocol (MCP) to process queries from AI agents, fetches structured data from OpenAlex, and returns easily digestible results. No complex API knowledge required - just connect and query.

Ideal Use Cases

Perfect for AI-powered research assistants, academic literature review tools, citation analysis systems, and any application requiring programmatic access to scholarly metadata.

Key Features

Comprehensive Academic Search
Search across millions of papers, authors, and institutions with advanced filtering options
Structured Metadata Access
Retrieve complete publication details including abstracts, citations, funding sources and more
Citation Network Analysis
Access forward and backward citation graphs to understand research impact
AI-Optimized Output
Data formatted specifically for machine processing and natural language generation
Advantages
Single point of access to OpenAlex's vast academic database
Standardized protocol simplifies integration with AI systems
Open-source nature allows customization and extension
Lightweight and easy to deploy
Limitations
Requires Python 3.10+ environment
Limited to OpenAlex's coverage (does not include all publishers)
No built-in user interface - designed for programmatic access

Getting Started

Install the server
Clone the repository and install dependencies using Python's package manager
Launch the service
Start the MCP server with a simple Python command
Connect your AI agent
Configure your AI system to communicate with the running MCP server endpoint

Practical Examples

Literature Review Assistant
An AI that helps researchers find relevant papers for their literature review
Researcher Profile Analyzer
System that generates researcher impact reports

Frequently Asked Questions

Do I need an API key to use OpenAlex through MCP?
What's the difference between using MCP and querying OpenAlex directly?
Can I run this on a cloud server?

Additional Resources

OpenAlex Official Documentation
Complete documentation of the OpenAlex database schema and capabilities
MCP Protocol Specification
Technical details about the Model Configuration Protocol standard
GitHub Repository
Source code and issue tracker for the MCP server implementation

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
9.0K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.6K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.2K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
9.8K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
7.6K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
7.4K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.7K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
8.8K
4 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
21.1K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
19.3K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
31.5K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
64.3K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
27.3K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
58.5K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
42.9K
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
85.8K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase