Elsevier ScienceDirect MCP Server for Google ADKGive Google ADK instant access to 9 tools to Get Article, Get Article Entitlement, Get Article Metadata, and more

Name: Elsevier ScienceDirect
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Elsevier ScienceDirect as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this MCP Server for Google ADK

Open in ChatGPT Open in Claude Open in Perplexity

The Elsevier ScienceDirect MCP Server for Google ADK is a standout in the Knowledge Management category — giving your AI agent 9 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="elsevier_sciencedirect_agent",
    instruction=(
        "You help users interact with Elsevier ScienceDirect "
        "using 9 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About 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.

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.

What you can do

Search & Discovery — Use advanced Boolean queries via search_sciencedirect to find articles, journals, and books across the entire database.
Full-Text & Abstracts — Retrieve complete article content or concise abstracts using get_article with 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_title and non-serials (ISBN) via get_nonserial_title.
Access Verification — Check entitlements and hosting permissions using get_article_entitlement and get_hosting_permissions to ensure compliant content usage.

The Elsevier ScienceDirect MCP Server exposes 9 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 9 Elsevier ScienceDirect tools available for Google ADK

When Google ADK connects to Elsevier ScienceDirect through Vinkius, your AI agent gets direct access to every tool listed below — spanning scholarly-articles, peer-reviewed, academic-search, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get article on Elsevier ScienceDirect

Retrieve full-text or abstract of an article

get

Get article entitlement on Elsevier ScienceDirect

Check user access rights for an article

get

Get article metadata on Elsevier ScienceDirect

Retrieve article metadata lookups

get

Get hosting permissions on Elsevier ScienceDirect

Retrieve embargo and hosting information

get

Get nonserial title on Elsevier ScienceDirect

Retrieve metadata for books by ISBN

get

Get object on Elsevier ScienceDirect

Retrieve multimedia or attachments for an article

get

Get serial title on Elsevier ScienceDirect

Retrieve metadata for journals by ISSN

get

Get subject classifications on Elsevier ScienceDirect

Retrieve subject categories

Search sciencedirect on Elsevier ScienceDirect

Search full-text content on ScienceDirect

Connect Elsevier ScienceDirect to Google ADK via MCP

Follow these steps to wire Elsevier ScienceDirect into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 9 tools from Elsevier ScienceDirect via MCP

Why Use Google ADK with the Elsevier ScienceDirect MCP Server

Google ADK provides unique advantages when paired with Elsevier ScienceDirect through the Model Context Protocol.

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

Seamless integration with Google Cloud services means you can combine Elsevier ScienceDirect tools with BigQuery, Vertex AI, and Cloud Functions

Elsevier ScienceDirect + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Elsevier ScienceDirect MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Elsevier ScienceDirect and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Elsevier ScienceDirect tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Elsevier ScienceDirect regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Elsevier ScienceDirect

Example Prompts for Elsevier ScienceDirect in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Elsevier ScienceDirect immediately.

"Search ScienceDirect for recent articles about CRISPR in Title/Abstract/Keywords."

"Get the full text for the article with DOI 10.1016/j.cell.2023.01.001."

"Check the hosting permissions for PII S0022-2836(21)00123-4."

Troubleshooting Elsevier ScienceDirect MCP Server with Google ADK

Common issues when connecting Elsevier ScienceDirect to Google ADK through Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Elsevier ScienceDirect + Google ADK FAQ

Common questions about integrating Elsevier ScienceDirect MCP Server with Google ADK.

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.