MOBIDI MCP Server for LangChainGive LangChain instant access to 12 tools to Check Mobidi Status, Create Record, Delete Record, and more

Name: MOBIDI
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The MOBIDI MCP Server for LangChain is a standout in the Erp Operations category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

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({
        "mobidi": {
            "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 MOBIDI, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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 MOBIDI MCP Server

Connect your MOBIDI platform to any AI agent and manage business intelligence data.

LangChain's ecosystem of 500+ components combines seamlessly with MOBIDI 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.

What you can do

Data Queries — Run custom queries and count matching records
CRUD Operations — Create, read, update, and delete records of any entity type
Reports — List, inspect, and execute BI reports
Data Model — Explore available entity types
System Services — View available platform services

The MOBIDI MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 MOBIDI tools available for LangChain

When LangChain connects to MOBIDI through Vinkius, your AI agent gets direct access to every tool listed below — spanning crud-operations, data-querying, reporting-dashboards, 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.

check

Check mobidi status on MOBIDI

Verify API connectivity

create

Create record on MOBIDI

Create a record

delete

Delete record on MOBIDI

Delete a record

execute

Execute report on MOBIDI

Execute a report

get

Get record by id on MOBIDI

Get record by ID

get

Get record count on MOBIDI

Count records

get

Get report on MOBIDI

Get report details

get

Get services on MOBIDI

List system services

list

List entity types on MOBIDI

List entity types

list

List records on MOBIDI

Query records

list

List reports on MOBIDI

List reports

update

Update record on MOBIDI

Update a record

Connect MOBIDI to LangChain via MCP

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

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 12 tools from MOBIDI via MCP

Why Use LangChain with the MOBIDI MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine MOBIDI 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 MOBIDI queries for multi-turn workflows

MOBIDI + LangChain Use Cases

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

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

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

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

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

Example Prompts for MOBIDI in LangChain

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

"Query all records where status is active."

"Execute the monthly sales report."

"List all entity types in the data model."

Troubleshooting MOBIDI MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

MOBIDI + LangChain FAQ

Common questions about integrating MOBIDI MCP Server with LangChain.

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.

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.