Bring Academic Literature
to LlamaIndex
Learn how to connect Scopus to LlamaIndex and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Scopus MCP Server?
Connect your Scopus API credentials to any AI agent and unlock the power of Elsevier's massive research database through natural conversation.
What you can do
- Advanced Search — Query Scopus abstracts and metadata using Boolean syntax and field codes like TITLE-ABS-KEY() or PUBYEAR
- Author & Institution Profiles — Retrieve detailed profiles, including H-index, affiliation history, and publication lists
- Citation Metrics — Get comprehensive citation overviews, counts, and summaries by year for any document via DOI or Scopus ID
- Journal Insights — Access metadata for serials including CiteScore, SJR, and SNIP metrics to evaluate publication impact
- PlumX Metrics — Inspect social media mentions, usage, and altmetrics to understand the broader reach of scientific work
How it works
- Subscribe to this server
- Enter your Scopus API Key (and optional Institutional Token)
- Start conducting literature reviews and bibliometric analysis from Claude, Cursor, or any MCP client
Who is this for?
- Researchers & Academics — quickly find relevant literature and track citation trends without manual database exports
- Data Scientists — integrate high-quality metadata and metrics into research workflows and knowledge graphs
- University Administrators — audit institutional output and author profiles with ease
Built-in capabilities (10)
Get detailed metadata for a specific document
Get detailed profile for an institution
Get detailed profile for a specific author
Get abstract citation count
Get citation counts and summaries by year
Get Altmetrics for Scopus documents
Get metadata about journals (metrics like CiteScore, SJR, SNIP)
Search Scopus institutional profiles
Search Scopus author profiles
Search Scopus abstracts and metadata
Why LlamaIndex?
LlamaIndex agents combine Scopus tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Scopus tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Scopus tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Scopus, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Scopus tools were called, what data was returned, and how it influenced the final answer
Scopus in LlamaIndex
Scopus and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Scopus to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Scopus in LlamaIndex
The Scopus MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Scopus for LlamaIndex
Every tool call from LlamaIndex to the Scopus MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I search for specific authors using their names or ORCID?
Yes! Use the search_author tool to find profiles by name or affiliation, or use get_author if you already have a specific Scopus Author ID to retrieve their full metrics and H-index.
How do I get a breakdown of citations per year for a specific paper?
You can use the get_citation_overview tool. Provide the DOI or Scopus ID and an optional date range (e.g., 2018-2023) to see how the document's impact has evolved over time.
Can the AI help me evaluate the quality of a journal?
Absolutely. By using the get_serial_title tool, your agent can retrieve official metrics like CiteScore, SJR (SCImago Journal Rank), and SNIP (Source Normalized Impact per Paper) for any journal.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Scopus tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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