How to Use the Europe PMC MCP in AutoGen

Enable multi-agent debate in AutoGen with direct access to Europe PMC for consensus-driven literature reviews.

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Connect Europe PMC MCP to AutoGen

Create your Vinkius account to connect Europe PMC 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 Europe PMC with AutoGen

Ask AI about this MCP

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Claude

Perplexity

Debate research with AutoGen

Assign one agent to run `search_articles` and another to critique the findings. They negotiate the relevance of the papers before presenting you with a final summary. This removes the bias of a single-agent search. You see the agents challenge each other based on the data they pulled from the database.

Automate grant tracking workflows

Set up a specialized agent that uses `search_grants` to monitor funding trends. It reports back to your lead agent if it finds new, relevant opportunities. This works even while you are away from your machine. The agents handle the repetitive task of checking for updates.

Integrate with any MCP Server

AutoGen treats this server as just another capability for your agents. You can mix it with other tools to create a comprehensive research ecosystem. Your agents coordinate their actions automatically. They know when to call the tools and how to interpret the results to reach a group conclusion.

Setup guide

Set up Europe PMC 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 Europe PMC 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="Europe PMC_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Europe PMC 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="Europe PMC_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Europe PMC 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 Europe PMC. 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.

Why Choose Vinkius

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Common questions about Europe PMC MCP in AutoGen

They pass the JSON output between themselves in the conversation history. One agent fetches the data, and the next reads it to formulate an opinion.

Yes, simply include the tools in the agent configuration. The agents will decide which one is best suited to call based on their assigned roles.

No, the server manages the connection to the public API. Your agents just request the data and receive the results in their chat window.

Any number of agents in your group chat can call the tools. You can define specific permissions for each agent to limit their access.

The MCP server acts as a secure gateway. It isolates your local environment from the public database, preventing any unauthorized code execution or data exposure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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