How to Use the Elsevier ScienceDirect MCP in AutoGen

Q: How do I configure AutoGen to use Elsevier ScienceDirect tools?

You use the mcpservertools helper to inject the nine server tools into your AssistantAgent. The adapter handles all schema translation automatically.

Enable multi-agent debate and consensus on research findings using Elsevier ScienceDirect and AutoGen.

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Connect Elsevier ScienceDirect MCP to AutoGen

Create your Vinkius account to connect Elsevier ScienceDirect to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Elsevier ScienceDirect with AutoGen

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Perplexity

Agentic debate over research data

Let your AutoGen agents debate the findings retrieved via `search_sciencedirect`. One agent can perform the search while another critiques the quality of the results. This brings a peer-review process to your agent interactions. You get a consensus-driven analysis rather than a single, potentially biased response.

Negotiating access and permissions

Use a security agent to check `get_article_entitlement` before your primary researcher agent attempts to pull data. It ensures your group follows all licensing rules. This prevents your agents from wasting cycles on restricted content. It forces them to negotiate alternative sources if the primary article is off-limits.

Refining queries through conversation

Agents can use `get_subject_classifications` to refine their search strategy. They talk to each other to determine the best keywords for `search_sciencedirect`. This creates a feedback loop. Your agents learn to ask better questions based on the metadata they pull from the API.

Setup guide

Set up Elsevier ScienceDirect MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Elsevier ScienceDirect tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Elsevier ScienceDirect_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Elsevier ScienceDirect data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Elsevier ScienceDirect_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Elsevier ScienceDirect data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Elsevier ScienceDirect. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Elsevier ScienceDirect MCP in AutoGen

You use the `mcp_server_tools` helper to inject the nine server tools into your AssistantAgent. The adapter handles all schema translation automatically.

Yes, the agents pass tool outputs back and forth as part of their chat history. This lets them build a collective understanding of the research.

They use their internal reasoning logic to evaluate the current goal. If they need a specific paper, they will autonomously trigger `get_article`.

It does. Because the server is hosted on Vinkius, it handles multiple requests from your agent group without blocking.

Access tokens are managed at the server level. Your agents only see the data returned by the API, never the underlying credentials.

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