# Scopus MCP

> Scopus MCP connects your AI client to Elsevier's massive academic literature and citation database. You can search for papers using advanced Boolean logic, build author profiles by checking H-indices, and calculate journal impact metrics like CiteScore—all from a natural conversation.

## Overview
- **Category:** knowledge-management
- **Price:** Free
- **Tags:** academic-literature, citation-database, research-metrics, bibliometrics, metadata-search

## Description

You don’t have time to manually log into multiple databases just to compile a literature review or audit an academic's output. This MCP lets you run advanced queries against the world’s largest research index directly through your AI client. Instead of copy-pasting DOIs and running separate reports, you talk to your agent and it handles the complexity. You can find specific papers using Boolean syntax, pull full metadata for authors or institutions, or get citation overviews broken down by year.

Need to know how influential a journal is? Check its CiteScore or SJR metrics in one go. Want to see if a piece of research has social media buzz? The MCP pulls altmetrics data right into your workflow. When you connect this MCP via Vinkius, you get immediate access to these powerful tools without needing complex API calls or developer setup. It just works with natural language, letting you focus on the analysis, not the plumbing.

## Tools

### get_abstract
Retrieves complete metadata for a single, specific academic document.

### get_affiliation
Pulls detailed profile information about an educational or research institution.

### get_author
Fetches a comprehensive professional profile for a named author, including their work history.

### get_citation_count
Calculates the total number of times an abstract has been cited by other papers.

### get_citation_overview
Generates a breakdown showing citation counts and summaries for specific years.

### get_plumx_metrics
Retrieves altmetrics, measuring the document's visibility across social media and other platforms.

### get_serial_title
Provides journal metrics like CiteScore, SJR, and SNIP to evaluate publication influence.

### search_affiliation
Searches the database specifically for institutional profiles by name or keywords.

### search_author
Locates and retrieves author profiles based on names, years, or affiliations.

### search_scopus
Performs powerful searches across the entire database for abstracts using complex queries.

## Prompt Examples

**Prompt:** 
```
Search Scopus for papers about 'Large Language Models' published in 2024.
```

**Response:** 
```
I found several high-impact papers. The top results include 'A Survey of Large Language Models' and 'Efficient Training of LLMs'. Would you like me to fetch the abstract for any of these?
```

**Prompt:** 
```
Get the citation overview for DOI 10.1016/j.future.2023.01.001.
```

**Response:** 
```
This document has been cited 45 times since its publication. In 2023 it received 12 citations, and so far in 2024, it has 33. It shows a strong upward trend in the field of cloud computing.
```

**Prompt:** 
```
Find the profile and H-index for author ID 7004212771.
```

**Response:** 
```
Author ID 7004212771 corresponds to Dr. Jane Smith. She has an H-index of 52, with 142 total documents and over 8,500 citations. Her primary affiliation is Stanford University.
```

## Capabilities

### Conduct deep literature searches
Search and retrieve metadata for academic abstracts using advanced search syntax.

### Build author and institution profiles
Fetch detailed professional profiles, including H-index counts and affiliation history for academics or universities.

### Analyze citation impact
Calculate comprehensive citation summaries over time, year by year, using a document's DOI or Scopus ID.

## Use Cases

### Assessing a rival's research focus
A researcher needs to know if their competitor is publishing in high-impact journals. They ask the agent to search for papers using `search_scopus` and then use `get_serial_title` on any resulting journal to check its CiteScore, giving them a clear competitive advantage.

### Writing a literature review chapter
A data scientist needs citation history for three key papers. They first run the `search_scopus` tool and then use `get_citation_overview` on each resulting DOI to generate year-by-year impact tables without leaving their agent environment.

### Auditing an academic's portfolio
A university administrator wants to track a professor's career growth. They use `search_author` and then call `get_author` to retrieve the H-index, total publications count, and primary affiliation history instantly.

### Checking the reach of an early finding
A team has published a foundational paper. They ask the agent to run `get_plumx_metrics` on the document ID to see if it's getting buzz in media or social networks, which is crucial for grant applications.

## Benefits

- Stop manually exporting data sets. You can get a full abstract using the `get_abstract` tool, giving you all the metadata for one document immediately.
- Build comprehensive author dossiers quickly. Use `search_author` to find profiles, then run `get_author` to pull detailed history and H-index counts.
- Gauge research impact beyond simple citation counts. The MCP pulls altmetrics via `get_plumx_metrics`, showing how widely a paper is discussed online.
- Compare journals accurately. Instead of reading vague rankings, use `get_serial_title` to pull concrete metrics like CiteScore and SJR for direct comparisons.
- Track citation growth over time effortlessly. The `get_citation_overview` tool summarizes citations year by year, showing trends instead of just a single number.
- Search with precision. Use the powerful `search_scopus` tool to query abstracts using Boolean syntax, drastically narrowing down your literature review results.

## How It Works

The bottom line is you get to treat the entire Scopus database like an extension of your natural conversation.

1. Subscribe to the MCP and enter your unique Scopus API credentials within Vinkius.
2. Connect this MCP in your preferred AI client (Claude, Cursor, etc.).
3. Ask your agent a question like, 'What were the citation trends for deep learning papers published last year?' and get instant results.

## Frequently Asked Questions

**How do I find citation trends using the Scopus MCP?**
You use the `get_citation_overview` tool. Just provide a document's DOI or ID, and it generates a summary showing how many citations the paper received in specific years.

**Can I search for papers published before 2010 with Scopus MCP?**
Yes, you can. The `search_scopus` tool allows querying using historical fields like PUBYEAR and Boolean logic to target older datasets accurately.

**What is the difference between getting abstract metadata and journal metrics via Scopus MCP?**
Metadata (`get_abstract`) gives you info on one paper (title, authors). Metrics (`get_serial_title`) give you broad data about the publication source itself, like its overall CiteScore.

**Do I need a specific key to use Scopus MCP?**
Yes. You must subscribe and enter your valid Scopus API Key into Vinkius for the connection to work. The MCP requires this credential to access the data.

**How do I find an institution's profile using Scopus MCP?**
You can use `search_affiliation` first to locate the institution, then use `get_affiliation` to pull all detailed information about its history and structure.