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LlamaIndexFramework
LlamaIndex
CORE (Open Access Research) MCP Server

Bring Open Access
to LlamaIndex

Learn how to connect CORE (Open Access Research) to LlamaIndex and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Get ArticleGet Article HistoryGet Article PdfGet JournalGet RepositoryGlobal SearchResolve OaiSearch ArticlesSearch JournalsSearch Repositories

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
CORE (Open Access Research)

What is the 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.

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.

How it works

  1. Subscribe to this server
  2. Enter your CORE API Key
  3. Start researching directly from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Researchers & Academics — quickly find relevant papers and download PDFs without leaving your writing or coding environment.
  • Students — gather citations, explore related research history, and find open access versions of paywalled content.
  • Data Scientists — access a massive corpus of open access metadata for literature reviews and scientific data analysis.

Built-in capabilities (10)

get_article

Get a specific article by CORE ID

get_article_history

Get the history of an article

get_article_pdf

Get the PDF download URL for an article

get_journal

Get a specific journal by ISSN

get_repository

Get a specific repository by ID

global_search

Global search across CORE

resolve_oai

Resolve an OAI identifier

search_articles

Search for articles

search_journals

Search for journals

search_repositories

Search for repositories

Why LlamaIndex?

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.

  • 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

L
See it in action

CORE (Open Access Research) in LlamaIndex

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

CORE (Open Access Research) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect CORE (Open Access Research) to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for CORE (Open Access Research) in LlamaIndex

The CORE (Open Access Research) 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

CORE (Open Access Research)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures CORE (Open Access Research) for LlamaIndex

Every tool call from LlamaIndex to the CORE (Open Access Research) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How do I get the PDF of a specific research article?

Use the get_article_pdf tool with the CORE Article ID. The agent will return the direct download URL for the open access PDF version of the paper.

02

Can I search for specific journals or repositories?

Yes! You can use search_journals or search_repositories for general text queries, or use get_journal (with an ISSN) and get_repository (with a Repository ID) for direct lookups.

03

What does the OAI resolution tool do?

The resolve_oai tool takes an OAI identifier (like oai:oro.open.ac.uk:75049) and resolves it to the CORE metadata page or the original repository link, helping you find the source of the research.

04

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

05

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query CORE (Open Access Research) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

06

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

07

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

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