How to Use the CORE (Open Access Research) MCP in AutoGen

Debate academic findings by connecting CORE (Open Access Research) to your AutoGen multi-agent system.

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Connect CORE (Open Access Research) MCP to AutoGen

Create your Vinkius account to connect CORE (Open Access Research) 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 CORE (Open Access Research) with AutoGen

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Perplexity

Debate research with CORE (Open Access Research)

Assign one agent to run `search_articles` while another critiques the findings. They negotiate the validity of the papers until they reach a consensus. This process forces your agents to challenge each other's interpretations. You get a much deeper analysis than a single agent could provide on its own.

Automate discovery with AutoGen agents

Set up a research agent that uses `resolve_oai` to verify identifiers automatically. If one agent finds a broken link, another agent attempts to fix the query. Your system handles the trial and error of research automatically. The agents iterate until they find the information that meets your strict criteria.

Negotiate research sources in AutoGen

Use a security agent to check if a repository is trusted before a research agent consumes its data. They communicate and agree on which sources are valid. This creates a system where evidence must pass through a gauntlet of checks. You rely on the collective decision of the agents rather than a single point of failure.

Setup guide

Set up CORE (Open Access Research) 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 CORE (Open Access Research) 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="CORE (Open Access Research)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent CORE (Open Access Research) 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="CORE (Open Access Research)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent CORE (Open Access Research) 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 CORE. 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 CORE (Open Access Research) MCP in AutoGen

Agents pass tool outputs back and forth during the conversation. The MCP adapter translates the data into a format that every agent in the group understands.

Yes, you can give each agent access to the same toolset. They coordinate their actions through the conversation history to avoid redundant API calls.

The server supports streamable HTTP transports. This allows your agents to process large search results without blocking the conversation flow.

You pass the tool list directly to the AssistantAgent constructor. The adapter handles the schema mapping so your agents can call the tools immediately.

Vinkius uses a zero-trust model for all API calls. Your specific research queries and the resulting article data are isolated to your agent's session and never exposed externally.

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