MiiTel MCP for AI. Analyze call metrics and spot coaching opportunities.
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MiiTel analyzes phone calls with your AI agent, scoring call quality while identifying sentiment and providing detailed coaching insights for sales teams.
It gives you full text transcripts, tracks talk ratio and speech rate, and monitors overall team performance metrics. You connect it to any MCP-compatible client and start reviewing calls instantly.
What your AI can do
Get call details
Retrieves specific performance and metadata details for one single call ID.
Get meeting details
Gets the recorded details, participants, and outcome data from a specific online meeting.
List calls
Provides an exhaustive list of all call history records within your MiiTel account.
It calculates key speech metrics like talk ratio, average speech rate, and identifies overlaps or excessive silence during recorded conversations.
You pull full text transcriptions from calls and get instant summaries of the main topics discussed (e.g., competitor names mentioned).
The system analyzes sentiment and energy levels throughout a call, highlighting moments when the customer's mood shifts or improves.
It pulls aggregate metrics like total call volume, average duration, and top performers for easy reporting.
You can cross-reference the analyzed call against existing CRM contacts or recorded online meeting histories using tools like list_synced_contacts.
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MiiTel MCP Server: 6 Tools for Call & Meeting Analytics
These tools let your AI client pull specific call records, list full history, check meetings, and retrieve synchronized contact details.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using MiiTel on VinkiusGet Call Details
Retrieves specific performance and metadata details for one single call ID.
Get Meeting Details
Gets the recorded details, participants, and outcome data from a specific online...
List Calls
Provides an exhaustive list of all call history records within your MiiTel account.
List Synced Contacts
Fetches an up-to-date list of contacts synced from your CRM system.
List Online Meetings
Generates a list of past online meetings, including their dates and primary...
List Miitel Users
Pulls a directory listing of all active user accounts within the MiiTel system.
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Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The MiiTel integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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- Built in DLP, auth, and compliance on every call
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Start with MiiTel, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 6 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Reviewing calls means digging through endless recordings.
Today, reviewing performance requires downloading call recordings and transcripts. You then copy the text into Notion or Excel to manually highlight where pitches fell flat, what objections were raised, and if the rep spoke too fast in a crucial moment. It's tedious, time-consuming work that only gets half-done.
With MiiTel MCP Server, you ask your agent to analyze call metrics directly. You get instant reports on talk ratio, sentiment shifts, and transcript summaries. The AI does all the reading and calculation for you; you just read the findings.
MiiTel MCP Server: Get full analysis from one prompt.
Previously, gathering a complete performance picture meant jumping between systems: accessing call volume logs in one place, transcript text in another, and sentiment scores manually calculated by an analyst. It was always fragmented.
Now, you send one prompt to your agent. MiiTel runs `get_call_details` and analyzes the data streams—transcripts, emotion analysis, metrics—and gives you a single, coherent summary. That's how fast it should be.
What your AI can actually do with this
This server connects your AI agent directly to MiiTel's call analytics engine, letting you review sales calls and team performance data using natural language prompts. You won't just get transcripts; you'll get full coaching insights into how the conversation went down.
Getting Call Data and Context
You can start by pulling a list of all your past interactions with list_calls, which provides an exhaustive record of every call history in your MiiTel account. Need to know who was on the line? Use get_call_details to pull specific performance metrics and metadata for any single call ID you care about.
If you're tracking meetings instead, list_online_meetings generates a list of past online sessions, giving you the dates and primary participants involved in those calls.
To keep your analysis grounded, you can cross-reference everything. You've got list_synced_contacts, which fetches an up-to-date directory of contacts synced straight from your CRM system. If a call relates to an online meeting, get_meeting_details pulls the full recorded data, listing participants and noting the final outcome.
For internal management, you can pull a list of all active user accounts within MiiTel by calling list_miitel_users, so your agent always knows who's on the books. You won't need to manually search for names or dates; these tools get it ready for your AI client.
Deep Call Analysis Mechanics
The server handles more than just audio dumps. When you analyze a call, your agent pulls full text transcriptions of sales or support calls and gives you instant summaries detailing the main topics discussed—like spotting competitor names that came up during the chat. The system calculates key speech metrics like talk ratio, average speech rate, and even flags overlaps or excessive silence throughout the recorded conversation.
Beyond the mechanics, it analyzes emotional tone shifts. It tracks sentiment and energy levels across the entire call duration, flagging specific moments when the customer's mood suddenly changes or improves. You get total text transcriptions alongside instant summaries that help you pinpoint those critical turning points in a sale.
When tracking team performance, the system pulls aggregate metrics for reporting. You can monitor total call volume, average conversation length, and identify top performers across your sales force, giving you clear data on what's working well and where coaching is needed. Your agent combines all this—the raw list of calls from list_calls with the deep performance data from get_call_details, cross-referenced against contacts via list_synced_contacts—to give you a complete picture every single time.
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Here's how it actually works
The bottom line is that MiiTel takes recorded calls and turns them into actionable performance reports for your AI client.
First, you subscribe to the MiiTel server and provide your unique Access Token.
Next, your AI client runs a prompt against the tools (e.g., 'Show me Mike's last call metrics').
Finally, the agent receives structured data—like talk ratio or sentiment trends—and presents it back to you in plain text.
Who is this actually for?
Sales Managers who need reps coached on specific call mistakes. QA Specialists who must prove compliance across hundreds of calls. Customer Success Leads tracking sentiment to predict churn risk.
You review discovery calls to automatically coach your team, spotting moments where reps failed to pivot or pitch correctly.
You monitor call compliance and speech metrics across the entire department, ensuring every interaction meets standard protocol.
You track sentiment trends over time to identify customer frustration or negative shifts that signal a risk of churn before it happens.
What Changes When You Connect
Stop guessing about performance. With list_calls and get_call_details, you get a full history of every interaction, allowing you to audit patterns that individual notes miss.
See exactly where the conversation went off track. The AI tracks sentiment changes moment by moment. You'll see if the customer got frustrated after a certain pitch point, giving reps immediate feedback on tone.
Cut through the noise with transcripts. Instead of reading pages of dictated notes, you ask your agent to 'Summarize call_890.' It pulls out key agreements and competitor names in seconds.
Benchmark entire teams instantly. Use performance analytics to track total calls connected versus average duration. You can immediately spot which reps need volume coaching and who needs talk ratio help.
Connect the dots automatically. By cross-referencing call data with list_synced_contacts, your agent doesn't just analyze a conversation; it ties that analysis back to the customer’s entire history in your CRM.
See it in action
The Sales Manager needs coaching on discovery calls
A manager wants to review Mike's pitch. Instead of re-listening, they prompt their agent: 'Show speech analytics for call_890.' The agent runs get_call_details and replies with the talk ratio (e.g., 45% vs 55%), showing exactly if Mike talked too much or not enough.
QA needs to audit compliance across a team
The QA specialist asks their agent to 'List all calls from last week.' The agent uses list_calls and filters the results, providing a list of IDs. The specialist then runs get_call_details on each ID to check for required legal disclosures.
Customer Success needs to spot churn risk
A CS lead wants to know why Account X is struggling. They prompt: 'Check sentiment history for Acme Corp.' The agent analyzes the last five calls, noting a consistent negative trend in emotion analysis, alerting them before the client complains.
The team needs context on a new meeting
A rep finishes an online call and asks their agent to 'Get details for this meeting.' The agent runs get_meeting_details and provides not only the recording link but also who attended, which helps the rep follow up with the right people.
The honest tradeoffs
Downloading CSVs for metrics
A user downloads a spreadsheet of call data and spends hours manually calculating average talk ratios or filtering calls by specific keywords.
You tell your agent to 'Analyze the last 10 calls.' The agent uses list_calls and runs speech analytics, instantly spitting out the metrics you need without any manual math.
Confusing call data with contact lists
Trying to figure out a customer's latest interaction by manually checking multiple dashboards: one for calls, one for contacts.
You ask your agent to 'Find the last call and sync it with the contact record.' The agent uses list_calls AND list_synced_contacts, giving you both pieces of information in one response.
Forgetting necessary context
You know a meeting happened, but you don't remember the exact ID or date needed to pull up the full details.
First, run list_online_meetings to see the list of meetings. Then, use the specific meeting name or ID from that list and pass it to get_meeting_details.
When It Fits, When It Doesn't
Use MiiTel if your primary pain point is analyzing communication quality—the how and why of a conversation (e.g., talk ratio, sentiment shift). You need this when you're coaching sales reps or auditing QA compliance.
Don't use it if all you need is simple data lookup that doesn't require analysis. For instance, if you just want to know who works at the company right now, list_miitel_users handles that. If you only need a list of contacts for an email blast and don't care about call history, use list_synced_contacts. MiiTel is for deep conversational intelligence; it’s not just a glorified directory service.
Questions you might have
How do I use list_calls to see all my calls? +
You prompt your agent with 'List MiiTel call history.' The agent executes list_calls and returns an exhaustive record of every interaction, giving you the IDs needed for further analysis.
Can I get coaching insights using get_call_details? +
Yes. After getting the details from a specific call ID, your agent can analyze the talk ratio, overlaps, and speech rate to pinpoint exactly where the rep needs improvement for better coaching.
What is the difference between list_calls and list_online_meetings? +
They track different types of interactions. list_calls handles voice/telephony records, while list_online_meetings tracks structured virtual meeting history.
Can I use MiiTel MCP Server to find contact info? +
Yes. You can run list_synced_contacts to pull the latest data from your CRM, ensuring that any call analysis you perform is immediately associated with accurate customer records.
What permissions are required when calling `list_miitel_users`? +
You need read scope access to list users. The API requires an authentication token with 'user:read' permission enabled. This ensures your agent can retrieve user accounts without needing write or modify rights.
Does `get_call_details` provide the full conversation transcript? +
No, it primarily returns call metadata and links to the recordings. To get the actual text transcript, you must use the provided transcript URL found within the detailed response object.
How do I filter results from `list_calls` by a specific date range? +
You pass start and end dates as query parameters in your request body. For example, set 'start_date' and 'end_date' to restrict the call history to the desired timeframe.
Are there rate limits when I use `get_meeting_details` frequently? +
Yes, API requests are subject to standard rate limiting policies. For high-volume processing, implement a delay or consider batching your calls rather than making them sequentially.
Can I access full call transcripts? +
Yes. Retrieve full text transcripts of calls, organized by speaker turns and timestamps.
How does MiiTel authentication work? +
MiiTel uses an Access Token (Bearer auth) against revcomm.miitel.jp/api/v2.
Does it analyze speech patterns? +
Yes. The API provides metrics like Talk/Listen ratio, interruptions, silences, and speaking speed (WPM).
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