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

Q: How do I restrict the CORE (Open Access Research) tools in LlamaIndex?

Use the allowedtools filter during client setup. This limits the agent to only the specific functions you want it to access.

Feed CORE (Open Access Research) findings into your LlamaIndex vector store for grounded, searchable knowledge.

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Connect CORE (Open Access Research) MCP to LlamaIndex

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

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Index academic papers in LlamaIndex

Use `get_article_pdf` to grab full text and push it into your vector index. Your RAG application now references specific academic papers during the retrieval process. This turns static research into a queryable knowledge base. Your LlamaIndex agent answers questions based on the specific papers you chose to ingest.

Ground responses with CORE (Open Access Research)

Stop guessing and start citing. Your agent runs `search_articles` to find the latest research and injects those findings directly into the prompt context. This forces the model to base its claims on verified academic sources. Hallucinations drop significantly when the context is tied to actual research data.

Filter research using LlamaIndex tools

Apply custom logic to the results returned by this MCP server before they hit your index. You filter by journal or repository ID using `get_journal` to keep your index focused. This ensures your vector store contains only the most relevant research. You maintain total control over what data your agent actually uses to build its answers.

Setup guide

Set up CORE (Open Access Research) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all CORE (Open Access Research) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to CORE (Open Access Research) tools.",
)
response = await agent.run("List recent CORE (Open Access Research) data")

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Common questions about CORE (Open Access Research) MCP in LlamaIndex

The client treats API outputs as raw text chunks for indexing. You convert these results into nodes that your RAG pipeline can query.

Yes, you convert the MCP tools into a tool list and pass them to the agent. It then decides when to query the API versus searching your local index.

You need to trigger the ingestion process. Once the agent retrieves data, you run your indexing logic to commit those papers to your vector database.

Use the allowed_tools filter during client setup. This limits the agent to only the specific functions you want it to access.

All communication occurs over encrypted channels. Only your specific session has access to the research metadata and PDF links returned by the server.

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