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GroundX MCP Server for LangChainGive LangChain instant access to 12 tools to Create Bucket, Create Group, Get Customer Info, and more

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect GroundX through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this App Connector for LangChain

The GroundX app connector for LangChain is a standout in the Knowledge Management category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "groundx": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using GroundX, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
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

About 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.

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 GroundX MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 GroundX tools available for LangChain

When LangChain connects to GroundX through Vinkius, your AI agent gets direct access to every tool listed below — spanning rag-as-a-service, data-search, document-retrieval, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

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

Connect GroundX to LangChain via MCP

Follow these steps to wire GroundX into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 12 tools from GroundX via MCP

Why Use LangChain with the GroundX MCP Server

LangChain provides unique advantages when paired with GroundX through the Model Context Protocol.

01

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

02

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

03

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

04

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

GroundX + LangChain Use Cases

Practical scenarios where LangChain combined with the GroundX MCP Server delivers measurable value.

01

RAG with live data: combine GroundX tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query GroundX, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain GroundX tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every GroundX tool call, measure latency, and optimize your agent's performance

Example Prompts for GroundX in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with GroundX immediately.

01

"List all my GroundX data buckets."

02

"Search for 'refund policy' in bucket 102."

03

"Check the document count in bucket 101."

Troubleshooting GroundX MCP Server with LangChain

Common issues when connecting GroundX to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

GroundX + LangChain FAQ

Common questions about integrating GroundX MCP Server with LangChain.

01

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.
02

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.
03

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.