3,400+ MCP servers ready to use
Vinkius

Bring Cloud Communications
to LangChain

Learn how to connect 8x8 to LangChain and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Check 8x8 StatusCheck VerificationGet Account BalanceGet Call StatusGet Sms StatusList Sub AccountsSend Chat MessageSend SmsSend VerificationSend Voice Message

What is the 8x8 MCP Server?

Connect your 8x8 Connect account to any AI agent and manage SMS, chat, voice, and verification workflows through natural conversation.

What you can do

  • SMS Messaging — Send text messages to any phone number worldwide and track delivery status
  • Chat Messaging — Send messages through WhatsApp, Viber, and LINE channels
  • Voice Calls — Initiate text-to-speech voice calls and check call status
  • Phone Verification — Send OTP codes via SMS and validate user submissions
  • Account Management — List sub-accounts and check account balance
  • Delivery Tracking — Monitor SMS and voice call delivery status in real time

How it works

1. Subscribe to this server
2. Enter your API Key and Sub Account ID from your 8x8 Connect dashboard
3. Start sending messages from Claude, Cursor, or any MCP client

Who is this for?

  • Customer Support — send SMS confirmations and initiate voice callbacks from AI
  • Product Teams — integrate phone verification into onboarding flows
  • Operations — monitor account balance and sub-account usage programmatically

Built-in capabilities (10)

check_8x8_status

Verify API connectivity

check_verification

Verify an OTP code

get_account_balance

Get account balance

get_call_status

Get voice call status

get_sms_status

Get SMS delivery status

list_sub_accounts

List sub-accounts

send_chat_message

Send a chat message

send_sms

Send an SMS message

send_verification

Send a verification code

send_voice_message

Make a text-to-speech call

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with 8x8 through native MCP adapters. Connect 10 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 8x8 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 8x8 queries for multi-turn workflows

See it in action

8x8 in LangChain

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

8x8 and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect 8x8 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
Enterprise Security

Why teams choose Vinkius for 8x8 in LangChain

The 8x8 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 10 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.

8x8
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 8x8 for LangChain

Every tool call from LangChain to the 8x8 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

Can my AI send SMS and track delivery status?

Yes. Use send_sms to deliver a text message, then get_sms_status with the returned message ID to check delivery confirmation in real time.

02

How does phone verification work through the AI?

Two steps: first, send_verification sends an OTP code to the user's phone. Then, check_verification validates the code the user submits. Both operations run through the 8x8 Verify API.

03

Can I send messages through WhatsApp and other chat channels?

Yes. The send_chat_message tool supports WhatsApp, Viber, and LINE. Just specify the channel, recipient identifier, and message text.

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