SnapCall MCP. Manage live call streams, media, and insights via API.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
SnapCall MCP Server connects your AI agent directly to real-time voice, video, and screen sharing data. It lets you automate customer support workflows by creating instant calls, capturing video clips on demand, and running complex analysis on call streams.
You can manage entire conversations programmatically—from initiating a session with `create_call` to automatically syncing insights using webhooks.
What your AI agents can do
Archive call stream
Archives or permanently deletes a recorded call session record.
Create call
Initiates an instant video or voice support call with a customer.
Create video clip request
Requests the customer to provide a specific video clip during a live session.
You use create_call to programmatically initiate both voice and video support sessions.
The agent runs get_ai_insights_for_call or list_ai_skills_data to pull structured metrics, like CSAT scores or top pain points, from completed calls.
You call create_video_clip_request to ask the customer for a video clip on-demand during an active session.
Using create_webhook, you set up instant notifications that push call events (like status changes or data records) to your external services.
You use list_call_streams and get_call_details to view a summary of all recent conversations and their metadata.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
SnapCall MCP Server: 11 Tools for Communication Ops
These tools let your agent manage the entire lifecycle of a customer interaction—from initiating a live call to pushing final data records.
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 SnapCall on Vinkius019dd162archive call stream
Archives or permanently deletes a recorded call session record.
019dd162create call
Initiates an instant video or voice support call with a customer.
019dd162create video clip request
Requests the customer to provide a specific video clip during a live session.
019dd162create webhook
Sets up a new webhook that pushes data to an external endpoint when certain call events occur (e.g., `call.started`).
019dd162delete webhook
Removes an existing, unnecessary webhook notification.
019dd162get account info
Retrieves general details about your SnapCall account setup and usage limits.
019dd162get ai insights for call
Pulls structured, summarized data (like pain points or top issues) from a specific completed call session.
019dd162get call details
Retrieves all metadata and details for a specified historical call stream.
019dd162list ai skills data
Lists the available AI-generated summaries of skills or topics covered across multiple calls.
019dd162list call streams
Retrieves a list of all recent, ongoing, or completed call sessions in your account.
019dd162list webhooks
Lists every webhook you have currently set up to track data flow.
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.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with SnapCall, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by SnapCall. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
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 server provides 11 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Logging call outcomes shouldn't take 15 minutes of manual summarizing and copy-pasting.
Today, after a client demo, you open the transcript, then switch to your notes app, then jump to your CRM. You spend time manually pulling out pain points, assigning resolution codes, and ensuring all key decisions are logged—all while trying to keep up with how much detail is in the recording.
With this MCP server, that process collapses into a single prompt. Your agent runs `get_ai_insights_for_call`, instantly returning structured data: 'Top Issue: Billing (4/5), Next Action: Send pricing sheet.' You get clean JSON output, not just unstructured text.
SnapCall MCP Server lets you manage media capture and call flow from your chat.
The old way involved a support agent telling the user: 'Okay, please open that other tool and send me a screenshot.' This required multiple clicks, context switching, and hoping the right screen was captured. You had to manage the workflow manually.
Now, you prompt your agent to run `create_video_clip_request`. The agent handles the protocol change, guides the customer through providing the clip, and manages that media data—all within one continuous flow. It changes the process from a manual handoff to an automated interaction.
What you can do with this MCP connector
SnapCall MCP Server: Video and Call Interaction Management
Your AI agent connects right into SnapCall via Model Context Protocol (MCP). This server lets you programmatically handle real-time voice, video, and screen sharing data. You don't need to jump between apps; your agent manages the entire conversation lifecycle using exposed tools.
- Managing Live Sessions: To start a support session or sales demo, your agent calls
create_call, which initiates both instant voice and video connections with a customer. If you need visual proof during an active chat, it usescreate_video_clip_requestto ask the customer for that specific clip on demand. - Tracking History: You'll use
list_call_streamsto pull a summary list of every recent, ongoing, or finished call in your account. When you need the deep dive—all the metadata and specifics from one particular session—you runget_call_details. - Pulling Intelligence: The agent extracts structured data from completed calls using
get_ai_insights_for_call, which pulls summarized metrics like key pain points or top issues. For a broader view of topics, it runslist_ai_skills_datato get AI-generated summaries across multiple sessions. - Automating Data Flow: You set up instant data pipes with
create_webhook. This tool pushes call events—like when a session starts (call.started) or status changes—directly into your external services, bypassing manual logging. If you gotta clean house, you can uselist_webhooksto see every setup anddelete_webhookto remove an unnecessary notification. - System Status: You check your account health and usage limits by running
get_account_info.
Your agent processes the full data stream: it starts a call, requests media during the interaction, records all metadata through list_call_streams, pulls structured insights via get_ai_insights_for_call after it's done, and then pushes every single event to your CRM or database using webhooks. You manage everything from initiating the session with create_call to syncing the final analysis data.
019dd163-20cc-7094-a565-5de54391a83e 
How SnapCall MCP Works
- 1 Subscribe to the SnapCall MCP Server and grab your unique API key.
- 2 Plug that key into your AI client (Claude, Cursor, etc.).
- 3 Your agent can then execute actions—for example, running
create_callorlist_ai_skills_data—by simply being prompted to do so.
The bottom line is: your AI agent can manage complex call events and data synchronization without you having to leave the chat interface.
Who Is SnapCall MCP For?
This is for Operations Managers and Developers who are tired of manually logging call outcomes or switching between a CRM, a video tool, and a reporting dashboard. If your job involves taking data from real-time conversations and turning it into structured reports or automated actions, this server handles the plumbing.
Manages support agents by initiating live video sessions via create_call and running list_ai_skills_data to check team performance metrics on call outcomes.
Automates the process of capturing post-demo insights. They use get_ai_insights_for_call immediately after a call ends and configure create_webhook to push data into Salesforce.
Integrates real-time communication features (voice/video) into custom business logic. They use the tools to manage stateful resources like webhooks or retrieve call metadata via get_account_info.
What Changes When You Connect
- Start real-time interactions instantly. You can use
create_callto launch a video or voice session right from your agent chat without needing the customer to download anything. - Get structured performance data immediately. Instead of reading through notes, run
get_ai_insights_for_callto pull actionable metrics like CSAT scores and top issues for any call you specify. - Keep your systems in sync automatically. By calling
create_webhook, you ensure that when a session starts or ends, the data hits your CRM or database without manual triggers. - Monitor team effectiveness at scale. Use
list_ai_skills_datato see what topics agents are discussing most often across hundreds of calls, helping managers identify training gaps. - Maintain a clear audit trail. With tools like
get_call_details, you can pull every piece of metadata—duration, resolution status, etc.—for any call recorded in your system.
Real-World Use Cases
Post-Demo Sales Follow-up
A sales engineer just finished a 30-minute product demo. Instead of writing up meeting notes, they prompt their agent: 'Run get_ai_insights_for_call for the call stream ID 123.' The agent instantly returns structured data showing the customer's top three pain points and whether they requested billing info.
On-Demand Documentation
A support rep is troubleshooting a technical issue. They prompt: 'Ask the user to provide a video clip of the error.' The agent uses create_video_clip_request and monitors the stream, capturing exactly what's needed for documentation.
CRM Synchronization
A customer service call ends. To log it in the CRM automatically, the ops user prompts: 'Create a webhook for call.ended that sends data to Zapier.' The agent uses create_webhook, ensuring zero manual logging.
Audit and Reporting
The manager needs a summary of all calls handled last week. They prompt: 'List the last 20 call streams' (list_call_streams). The agent returns a list with IDs, dates, and basic status codes for quick review.
The Tradeoffs
Trying to read live data without context
Asking the agent: 'What are the details of my current call?' The agent fails because it doesn't know which stream ID you mean.
→
First, run list_call_streams to get a list of recent IDs. Then, pass one of those IDs into the get_call_details tool for the full record.
Assuming data pushes automatically
Thinking that logging an event in SnapCall means your CRM knows about it. The data stays locked inside SnapCall.
→
You must explicitly set up a bridge using create_webhook. This tells the system: 'When X happens, send a payload to Y endpoint.'
Managing multiple webhooks manually
Needing to turn off an old data feed but forgetting which webhook ID was set up.
→
Run list_webhooks first. This shows you all active hooks, and then use delete_webhook with the specific ID to clean it up.
When It Fits, When It Doesn't
Use this server if your business process relies on real-time communication (voice/video) and requires that data to trigger downstream actions or generate structured reports. You need tools like create_webhook and get_ai_insights_for_call. If you only need to look up static records—like a user's name or account ID—you don't need this; a simple database connector will work better. Don't use it if your primary task is merely storing transcripts, because the server focuses on actionable data and interaction orchestration, not just storage. If you just need to read logs, list_call_streams gives you the starting point, but for full detail, you'll still need to run get_call_details.
Common Questions About SnapCall MCP
How do I start a test call using `create_call`? +
You just tell your agent: 'Start a new video call with user X.' The tool handles the initiation process. You'll get a confirmation ID back that you can use for later monitoring.
What is the difference between `list_call_streams` and `get_call_details`? +
list_call_streams gives you a quick roster of recent calls (ID, date, status). You have to run get_call_details next to pull all the deep metadata for any single stream ID.
Can I use `create_webhook` for multiple events? +
Yes. When you set it up, you specify which events matter—like a combination of call.started and clip.created. This ensures your external system only gets notified when the exact sequence happens.
How do I get insights on skills using `list_ai_skills_data`? +
You run list_ai_skills_data first to see what types of skill categories are available. Then, you pass the necessary parameters (like date range or agent ID) to pull the actual data.
If I delete a webhook using `delete_webhook`, does it affect my call history? +
No. Deleting a webhook only stops the future notifications; it doesn't touch or modify any historical records managed by SnapCall.
What information do I get when I use the `get_account_info` tool? +
It returns your overall SnapCall account metrics. You'll see usage totals, billing status, and API limits here. This helps you monitor capacity before running large operations.
How do I properly archive or delete a call record using `archive_call_stream`? +
You pass the specific stream ID to archive_call_stream. Deletion permanently removes the data, while archiving moves it to secure, historical storage. Use this for compliance.
If I need to check my existing integrations, what tool do I use with `list_webhooks`? +
The list_webhooks tool displays all registered endpoints and their associated trigger events. Reviewing this list confirms which data streams are actively sending notifications.
How do I find my SnapCall API Key? +
Log in to your SnapCall account, navigate to Settings > API, and you will find your unique secret API Key there.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.