3,400+ MCP servers ready to use
Vinkius

Bring Rag As A Service
to LangChain

Learn how to connect GroundX to LangChain 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 LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with GroundX through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

  • —

    The largest ecosystem of integrations, chains, and agents. combine GroundX MCP tools with 500+ LangChain components

  • —

    Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

  • —

    LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

  • —

    Memory and conversation persistence let agents maintain context across GroundX queries for multi-turn workflows

See it in action

GroundX in LangChain

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 LangChain 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 LangChain →
Enterprise Security

Why teams choose Vinkius for GroundX in LangChain

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 LangChain 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 LangChain

Every tool call from LangChain 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 LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

05

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.

06

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

07

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters