3,400+ MCP servers ready to use
Vinkius

Bring Interoperability
to LangChain

Learn how to connect Mio 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 WebhookDelete WebhookGet Account InfoGet Call DetailsGet Call SummaryGet Call TranscriptGet Credit BalanceList Available VoicesList CallsList WebhooksStart Ai CallTerminate Call

What is the Mio MCP Server?

Connect your Mio account to any AI agent and manage automated phone calls through natural conversation.

What you can do

  • Outbound Calls — Start AI-powered phone calls with custom scripts and instructions
  • Call Logs — Browse call history with status, duration, and outcomes
  • Transcripts — Retrieve full text transcriptions of completed calls
  • AI Summaries — Get AI-generated summaries and extracted data from calls
  • Voice Selection — Choose from multiple neural voices for the AI agent
  • Webhooks — Configure event notifications for call status changes
  • Call Control — Terminate active calls in real time
  • Account — Check credit balance and account information

How it works

1. Subscribe to this server
2. Enter your Mio API Key
3. Start making AI calls from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Sales Teams — automate outbound prospecting calls with AI agents
  • Customer Service — deploy AI voice agents for appointment confirmations
  • Developers — build voice-first AI applications with call transcripts

Built-in capabilities (12)

create_webhook

Add new notification

delete_webhook

Remove a webhook

get_account_info

Get user profile

get_call_details

Get specific call info

get_call_summary

Get AI call summary

get_call_transcript

Get call text log

get_credit_balance

Check account funds

list_available_voices

List AI voices

list_calls

List all call logs

list_webhooks

Get active webhooks

start_ai_call

Start an AI phone call

terminate_call

Stop active call

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with Mio 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 Mio 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 Mio queries for multi-turn workflows

See it in action

Mio in LangChain

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

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

Teams that connect Mio 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 Mio in LangChain

The Mio 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.

Mio
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 Mio for LangChain

Every tool call from LangChain to the Mio 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 I start an automated AI phone call?

Yes. Provide a phone number, instructions for the AI agent, and optionally select a voice. Mio will call and follow the script autonomously.

02

How does Mio authentication work?

Mio requires an API Key sent via the X-API-Key header against api.mio.gg/api/v1.

03

Can I get transcripts and AI summaries?

Yes. After a call completes, retrieve the full text transcript and an AI-generated summary with extracted data points.

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