CORE (Open Access Research) MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Get Article, Get Article History, Get Article Pdf, and more
GDPR Free for SubscribersLlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add CORE (Open Access Research) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The CORE (Open Access Research) MCP Server for LlamaIndex is a standout in the Knowledge Management category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to CORE (Open Access Research). "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in CORE (Open Access Research)?"
)
print(response)
asyncio.run(main())
* 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 CORE (Open Access Research) MCP Server
Connect to CORE, the world's largest aggregator of open access research papers. This MCP server allows your AI agent to search, retrieve, and analyze millions of scholarly articles, journals, and institutional repositories through natural conversation.
LlamaIndex agents combine CORE (Open Access Research) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Global Search — Search across all CORE resources including articles, journals, and repositories using a single text query.
- Article Retrieval — Fetch full metadata, version history, and direct PDF download links for specific research papers using CORE IDs.
- Journal & Repository Discovery — Search and inspect specific journals by ISSN or explore institutional repositories to find authoritative sources.
- OAI Resolution — Resolve Open Archives Initiative (OAI) identifiers to access original metadata and repository pages.
- Deep Metadata Inspection — Analyze article history and updates to ensure you are working with the latest scientific information.
The CORE (Open Access Research) MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 CORE (Open Access Research) tools available for LlamaIndex
When LlamaIndex connects to CORE (Open Access Research) through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-access, research-papers, academic-search, 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 article on CORE (Open Access Research)
Get a specific article by CORE ID
Get article history on CORE (Open Access Research)
Get the history of an article
Get article pdf on CORE (Open Access Research)
Get the PDF download URL for an article
Get journal on CORE (Open Access Research)
Get a specific journal by ISSN
Get repository on CORE (Open Access Research)
Get a specific repository by ID
Global search on CORE (Open Access Research)
Global search across CORE
Resolve oai on CORE (Open Access Research)
Resolve an OAI identifier
Search articles on CORE (Open Access Research)
Search for articles
Search journals on CORE (Open Access Research)
Search for journals
Search repositories on CORE (Open Access Research)
Search for repositories
Connect CORE (Open Access Research) to LlamaIndex via MCP
Follow these steps to wire CORE (Open Access Research) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the CORE (Open Access Research) MCP Server
LlamaIndex provides unique advantages when paired with CORE (Open Access Research) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine CORE (Open Access Research) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain CORE (Open Access Research) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query CORE (Open Access Research), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what CORE (Open Access Research) tools were called, what data was returned, and how it influenced the final answer
CORE (Open Access Research) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the CORE (Open Access Research) MCP Server delivers measurable value.
Hybrid search: combine CORE (Open Access Research) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query CORE (Open Access Research) to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying CORE (Open Access Research) for fresh data
Analytical workflows: chain CORE (Open Access Research) queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for CORE (Open Access Research) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with CORE (Open Access Research) immediately.
"Search CORE for the latest research on transformer architectures in NLP."
"Get the PDF download link for the article with CORE ID 123456."
"Find information about the journal with ISSN 2041-1723."
Troubleshooting CORE (Open Access Research) MCP Server with LlamaIndex
Common issues when connecting CORE (Open Access Research) to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCORE (Open Access Research) + LlamaIndex FAQ
Common questions about integrating CORE (Open Access Research) MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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