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Mitto MCP Server for LangChainGive LangChain instant access to 27 tools to Add Masked Number, Add Masking Participant, Cancel 2fa, and more

MCP Inspector GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Mitto 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 MCP Server for LangChain

The Mitto MCP Server for LangChain is a standout in the Communication Messaging category — giving your AI agent 27 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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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({
        "mitto": {
            "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 Mitto, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Mitto
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 Mitto MCP Server

Connect your Mitto account to any AI agent to handle global communication workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Mitto through native MCP adapters. Connect 27 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

  • SMS Messaging — Send single or bulk SMS messages globally with custom sender IDs and delivery tracking.
  • Two-Factor Authentication (2FA) — Generate, send, and verify OTP codes via SMS or Voice channels to secure your user accounts.
  • Number Lookup — Validate phone numbers and retrieve carrier information to ensure deliverability.
  • Usage Analytics — Monitor your SMS and 2FA usage statistics grouped by country or date ranges.
  • Application Management — Manage your Mitto applications and masked numbers for privacy-focused communication.

The Mitto MCP Server exposes 27 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 27 Mitto tools available for LangChain

When LangChain connects to Mitto through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-api, two-factor-authentication, otp-verification, 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.

add

Add masked number on Mitto

Add a masked number

add

Add masking participant on Mitto

Add a masking participant

cancel

Cancel 2fa on Mitto

Cancel a 2FA OTP request

create

Create masking application on Mitto

Create a number masking application

create

Create masking context on Mitto

Create a masking context

delete

Delete masked number on Mitto

Delete a masked number

delete

Delete masking application on Mitto

Delete a number masking application

delete

Delete masking context on Mitto

Delete a masking context

delete

Delete masking participant on Mitto

Delete a masking participant

get

Get 2fa usage on Mitto

Get 2FA usage records

get

Get sms usage by country on Mitto

Get SMS usage by country

list

List masked numbers on Mitto

List masked numbers

list

List masking applications on Mitto

List number masking applications

list

List masking contexts on Mitto

List masking contexts

list

List masking participants on Mitto

List masking participants

lookup

Lookup number on Mitto

Lookup mobile number information

search

Search 2fa on Mitto

Search 2FA SDRs

search

Search masking interactions on Mitto

Search masking interactions

send

Send 2fa on Mitto

Send a 2FA OTP message

send

Send bulk sms on Mitto

Send bulk SMS messages

send

Send sms on Mitto

Send a single SMS message

set

Set 2fa limits on Mitto

Set 2FA limits

set

Set 2fa workflows on Mitto

g., SMS to Voice) for 2FA. Set 2FA workflows

track

Track sms conversion on Mitto

Track SMS conversion

update

Update masking application on Mitto

Update a number masking application

update

Update masking context on Mitto

Update a masking context

verify

Verify 2fa on Mitto

Verify a 2FA OTP code

Connect Mitto to LangChain via MCP

Follow these steps to wire Mitto into LangChain. The entire setup takes under two minutes — your credentials stay safe behind 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 27 tools from Mitto via MCP

Why Use LangChain with the Mitto MCP Server

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

01

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

Mitto + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Mitto in LangChain

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

01

"Send an SMS to +1234567890 saying 'Your order is ready for pickup!' from 'MyStore'."

02

"Send a 2FA verification code to +447700900123."

03

"Lookup the phone number +4915123456789 to see the carrier info."

Troubleshooting Mitto MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Mitto + LangChain FAQ

Common questions about integrating Mitto 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.

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