Compatible with every major AI agent and IDE
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 LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Scopus through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Scopus MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Scopus queries for multi-turn workflows
Scopus in LangChain
Scopus and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Scopus to LangChain 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 LangChain
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 LangChain 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 LangChain
Every tool call from LangChain 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 LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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