3,400+ MCP servers ready to use
Vinkius
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Bring Rag As A Service
to LlamaIndex

Learn how to connect GroundX to LlamaIndex and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Create BucketCreate GroupGet Customer InfoGet Ingest StatusIngest DocumentsIngest WebsiteList BucketsList ContentList GroupsList WorkflowsSearch ContentSearch Documents
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

What is the GroundX MCP Server?

The GroundX MCP server enables your AI agent to search across enterprise data stores and manage RAG (Retrieval-Augmented Generation) pipelines, retrieving highly relevant document chunks seamlessly.

Built-in capabilities (12)

create_bucket

Create a new bucket

create_group

Create a new group

get_customer_info

Retrieve account and customer details

get_ingest_status

Check the processing status of an ingestion task

ingest_documents

Ingest documents into GroundX from URLs or local paths

ingest_website

Crawl and ingest content from a website URL

list_buckets

List all buckets (containers for documents)

list_content

List all ingested documents

list_groups

List all groups (aggregations of buckets)

list_workflows

List all RAG workflows

search_content

Perform semantic search across all content

search_documents

Search for specific documents based on metadata or content

Why LlamaIndex?

LlamaIndex agents combine GroundX tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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 GroundX tool responses with indexed documents for comprehensive, grounded answers

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    Query pipeline framework lets you chain GroundX tool calls with transformations, filters, and re-rankers in a typed pipeline

  • —

    Multi-source reasoning: agents can query GroundX, a vector store, and a SQL database in a single turn and synthesize results

  • —

    Observability integrations show exactly what GroundX tools were called, what data was returned, and how it influenced the final answer

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See it in action

GroundX in LlamaIndex

AI Agent→Vinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

GroundX and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect GroundX 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.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ 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
Use with Your AI Agent View step-by-step setup guide for LlamaIndex →
Enterprise Security

Why teams choose Vinkius for GroundX in LlamaIndex

The GroundX 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 12 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.

Use with Your AI Agent View full GroundX details →
GroundX
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 GroundX for LlamaIndex

Every tool call from LlamaIndex to the GroundX 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 query my indexed documents?

Simply ask the AI agent to search for a specific term or concept, and it will query the GroundX API to retrieve the most relevant textual chunks.

02

Can I manage data buckets from the agent?

Yes, you can list your active buckets, check their document count, and verify index status.

03

Does it support adding new files to a bucket?

Currently, the integration focuses on querying the optimized indexes. File ingestion should be managed through the GroundX dashboard or a separate pipeline.

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 GroundX 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