Scopus MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Get Abstract, Get Affiliation, Get Author, and more

Name: Scopus
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Scopus through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Scopus MCP Server for Pydantic AI is a standout in the Knowledge Management category — giving your AI agent 10 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

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Scopus "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Scopus?"
    )
    print(result.data)

asyncio.run(main())

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* 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 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.

Pydantic AI validates every Scopus tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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

The Scopus MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Scopus tools available for Pydantic AI

When Pydantic AI connects to Scopus through Vinkius, your AI agent gets direct access to every tool listed below — spanning academic-literature, citation-database, research-metrics, 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 abstract on Scopus

Get detailed metadata for a specific document

get

Get affiliation on Scopus

Get detailed profile for an institution

get

Get author on Scopus

Get detailed profile for a specific author

get

Get citation count on Scopus

Get abstract citation count

get

Get citation overview on Scopus

Get citation counts and summaries by year

get

Get plumx metrics on Scopus

Get Altmetrics for Scopus documents

get

Get serial title on Scopus

Get metadata about journals (metrics like CiteScore, SJR, SNIP)

Search affiliation on Scopus

Search Scopus institutional profiles

Search author on Scopus

Search Scopus author profiles

Search scopus on Scopus

Search Scopus abstracts and metadata

Connect Scopus to Pydantic AI via MCP

Follow these steps to wire Scopus into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Scopus with type-safe schemas

Why Use Pydantic AI with the Scopus MCP Server

Pydantic AI provides unique advantages when paired with Scopus through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Scopus integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Scopus connection logic from agent behavior for testable, maintainable code

Scopus + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Scopus MCP Server delivers measurable value.

Type-safe data pipelines: query Scopus with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Scopus tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Scopus and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Scopus responses and write comprehensive agent tests

Example Prompts for Scopus in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Scopus immediately.

"Search Scopus for papers about 'Large Language Models' published in 2024."

"Get the citation overview for DOI 10.1016/j.future.2023.01.001."

"Find the profile and H-index for author ID 7004212771."

Troubleshooting Scopus MCP Server with Pydantic AI

Common issues when connecting Scopus to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Scopus + Pydantic AI FAQ

Common questions about integrating Scopus MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Scopus MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.