Compatible with every major AI agent and IDE
What is the Elsevier ScienceDirect MCP Server?
Connect to Elsevier ScienceDirect to empower your AI agent with the world's leading source of scientific, technical, and medical research. This MCP server allows for deep exploration of peer-reviewed literature, metadata retrieval, and access rights verification.
What you can do
- Search & Discovery — Use advanced Boolean queries via
search_sciencedirectto find articles, journals, and books across the entire database. - Full-Text & Abstracts — Retrieve complete article content or concise abstracts using
get_articlewith PII, DOI, or Scopus IDs. - Metadata & Citations — Fetch detailed metadata for institutional repositories or citation management using
get_article_metadata. - Journal & Book Insights — Access specific metadata for serials (ISSN) via
get_serial_titleand non-serials (ISBN) viaget_nonserial_title. - Access Verification — Check entitlements and hosting permissions using
get_article_entitlementandget_hosting_permissionsto ensure compliant content usage.
How it works
- Subscribe to this server
- Enter your Elsevier API Key (and optional Institutional Token)
- Start querying scientific literature from Claude, Cursor, or any MCP-compatible client
No more manual searching through web portals. Your AI acts as a research assistant capable of fetching precise data from the ScienceDirect ecosystem.
Who is this for?
- Researchers & Academics — instantly retrieve paper abstracts and full texts without leaving the research environment
- Data Scientists — automate the collection of metadata and subject classifications for literature reviews
- Librarians & Repository Managers — verify hosting permissions and entitlements for institutional compliance
Built-in capabilities (9)
Retrieve full-text or abstract of an article
Check user access rights for an article
Retrieve article metadata lookups
Retrieve embargo and hosting information
Retrieve metadata for books by ISBN
Retrieve multimedia or attachments for an article
Retrieve metadata for journals by ISSN
Retrieve subject categories
Search full-text content on ScienceDirect
Why Google ADK?
Google ADK natively supports Elsevier ScienceDirect as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
- —
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
- —
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Elsevier ScienceDirect
- —
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Elsevier ScienceDirect tools with BigQuery, Vertex AI, and Cloud Functions
Elsevier ScienceDirect in Google ADK
Elsevier ScienceDirect and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Elsevier ScienceDirect to Google ADK 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 Elsevier ScienceDirect in Google ADK
The Elsevier ScienceDirect 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 9 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK 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
Elsevier ScienceDirect for Google ADK
Every tool call from Google ADK to the Elsevier ScienceDirect 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 or titles using this server?
Yes! Use the search_sciencedirect tool with specific query syntax like auth(name) for authors or tak(query) for Title/Abstract/Keywords to find exactly what you need.
How do I check if my institution has access to a specific paper?
You can use the get_article_entitlement tool. By providing the DOI or PII, the agent will verify if the authenticated user or institution has the rights to access the full text.
Can I retrieve metadata for a journal if I only have the ISSN?
Absolutely. Use the get_serial_title tool and provide the ISSN. The agent will return the journal's metadata, including title and subject classifications.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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