Openalex Mcp
What is Openalex Mcp
openalex-mcp is an MCP server designed for academic literature research, utilizing the OpenAlex free API to facilitate access to scholarly information.
Use cases
Use cases for openalex-mcp include building research tools, developing educational applications, and creating data analysis platforms that leverage academic literature.
How to use
To use openalex-mcp, install the necessary dependencies with ‘npm install’, configure the environment variables in a .env file, and run the server using ‘npm start’. You can then send GET requests to the ‘/search’ endpoint with a query parameter for your search term.
Key features
Key features of openalex-mcp include a simple API for querying academic literature, support for Docker deployment, and built-in CI/CD integration for testing and deployment.
Where to use
openalex-mcp can be used in academic institutions, research organizations, and by developers building applications that require access to academic literature and metadata.
Overview
What is Openalex Mcp
openalex-mcp is an MCP server designed for academic literature research, utilizing the OpenAlex free API to facilitate access to scholarly information.
Use cases
Use cases for openalex-mcp include building research tools, developing educational applications, and creating data analysis platforms that leverage academic literature.
How to use
To use openalex-mcp, install the necessary dependencies with ‘npm install’, configure the environment variables in a .env file, and run the server using ‘npm start’. You can then send GET requests to the ‘/search’ endpoint with a query parameter for your search term.
Key features
Key features of openalex-mcp include a simple API for querying academic literature, support for Docker deployment, and built-in CI/CD integration for testing and deployment.
Where to use
openalex-mcp can be used in academic institutions, research organizations, and by developers building applications that require access to academic literature and metadata.
Content
OpenAlex MCP Server
Node.js MCP server using Express and Axios to proxy queries to the OpenAlex API.
Author: Samadori H. Biaou [email protected]
License: MIT License
Prerequisites
- Node.js (>=14)
- npm
Installation
npm install
Configuration
Create a .env file in the project root with the following content:
PORT=3000 OPENALEX_BASE_URL=https://api.openalex.org
Running the Server
npm start
The server listens on http://localhost:<PORT>
API
GET /search
Query parameter:
q: search term
Example:
GET http://localhost:3000/search?q=machine%20learning
Production Deployment
Docker
A Dockerfile is provided for production deployment.
- Build the Docker image:
docker build -t openalex-mcp . - Run the container:
docker run -p 3000:3000 -d openalex-mcp
Environment Configuration
Ensure that production environment variables (e.g., PORT and OPENALEX_BASE_URL) are correctly set. For sensitive data, consider using a secrets manager.
Scaling and Monitoring
- Scaling: Use container orchestrators like Docker Swarm or Kubernetes to scale horizontally based on load.
- Monitoring: Integrate monitoring solutions (e.g., New Relic, Prometheus, or Grafana) to track server health and performance.
Backup Procedures
Implement automated backup solutions for critical data and configuration files. Regularly back up container volumes and databases if applicable.
Testing and CI/CD
A CI pipeline is configured using GitHub Actions to run unit and integration tests on every push and pull request.