3,400+ MCP servers ready to use
Vinkius

Bring Call Transcription
to LangChain

Learn how to connect MiiTel to LangChain and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Get Call DetailsGet Meeting DetailsList CallsList Miitel UsersList Online MeetingsList Synced Contacts
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

What is the MiiTel MCP Server?

Connect your MiiTel account to any AI agent and manage AI-powered speech analysis and call data through natural conversation.

What you can do

  • Call Transcripts — Access full text transcriptions of sales and support calls
  • Speech Analytics — Analyze talk ratio, speech rate, overlaps, and silence
  • Recordings — Retrieve call recording metadata and audio links
  • Agent Performance — Monitor call volume, duration, and conversion rates
  • Emotion Analysis — Track sentiment and energy levels during conversations

How it works

1. Subscribe to this server
2. Enter your MiiTel Access Token
3. Start analyzing voice calls from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Sales Managers — review discovery calls and coach reps automatically
  • Customer Success — monitor sentiment and identify churn risks
  • Quality Assurance — ensure compliance on phone calls

Built-in capabilities (6)

get_call_details

Get details for a specific call

get_meeting_details

Get details for a specific meeting

list_calls

List MiiTel call history

list_miitel_users

List MiiTel account users

list_online_meetings

List online meeting history

list_synced_contacts

List CRM contacts

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with MiiTel through native MCP adapters. Connect 6 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 MiiTel 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 MiiTel queries for multi-turn workflows

See it in action

MiiTel in LangChain

AI Agent→Vinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

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

Teams that connect MiiTel 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
Use with Your AI Agent View step-by-step setup guide for LangChain →
Enterprise Security

Why teams choose Vinkius for MiiTel in LangChain

The MiiTel 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 6 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.

Use with Your AI Agent View full MiiTel details →
MiiTel
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 MiiTel for LangChain

Every tool call from LangChain to the MiiTel 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 access full call transcripts?

Yes. Retrieve full text transcripts of calls, organized by speaker turns and timestamps.

02

How does MiiTel authentication work?

MiiTel uses an Access Token (Bearer auth) against revcomm.miitel.jp/api/v2.

03

Does it analyze speech patterns?

Yes. The API provides metrics like Talk/Listen ratio, interruptions, silences, and speaking speed (WPM).

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