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SnapCall MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Archive Call Stream, Create Call, Create Video Clip Request, and more

Built by Vinkius GDPR 11 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add SnapCall as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The SnapCall app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to SnapCall. "
            "You have 11 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in SnapCall?"
    )
    print(response)

asyncio.run(main())
SnapCall
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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

About SnapCall MCP Server

Connect your SnapCall account to any AI agent to automate your real-time customer engagement and video support orchestration. SnapCall provides a premier platform for embedding interactive calls into websites and apps, and this integration allows you to initiate calls, manage video clips, and monitor AI-driven conversational insights through natural conversation.

LlamaIndex agents combine SnapCall tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

  • Call & Interaction Orchestration — Create and manage interactive voice and video calls programmatically to enhance your customer support.
  • Clip Lifecycle Management — Create and monitor video clips to provide visual support and documentation directly from the AI interface.
  • Conversation Intelligence — Access and monitor real-time data streams and retrieve AI-driven skill insights to optimize your team's performance.
  • Webhook & Automation Control — Create and manage webhooks to ensure your conversational data is instantly synchronized with your external tools.
  • Operational Monitoring — Track account usage and monitor system health via natural language commands to maintain a clear overview of your engagement metrics.

The SnapCall MCP Server exposes 11 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 SnapCall tools available for LlamaIndex

When LlamaIndex connects to SnapCall through Vinkius, your AI agent gets direct access to every tool listed below — spanning interactive-video, voice-calls, screen-sharing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

archive_call_stream

Archive or delete a call record

create_call

Create an instant video/voice call

create_video_clip_request

Request a video clip from customer

create_webhook

g., call.started, clip.created). Create a new webhook

delete_webhook

Remove a webhook

get_account_info

Get SnapCall account details

get_ai_insights_for_call

Get AI insights for a specific call

get_call_details

Get details for a call stream

list_ai_skills_data

List AI call insights

list_call_streams

List recent call streams

list_webhooks

List registered webhooks

Connect SnapCall to LlamaIndex via MCP

Follow these steps to wire SnapCall into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 11 tools from SnapCall

Why Use LlamaIndex with the SnapCall MCP Server

LlamaIndex provides unique advantages when paired with SnapCall through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine SnapCall tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain SnapCall tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query SnapCall, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what SnapCall tools were called, what data was returned, and how it influenced the final answer

SnapCall + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the SnapCall MCP Server delivers measurable value.

01

Hybrid search: combine SnapCall real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query SnapCall to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying SnapCall for fresh data

04

Analytical workflows: chain SnapCall queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for SnapCall in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with SnapCall immediately.

01

"List all active data streams in my SnapCall account."

02

"Show me all video call sessions from today with their duration, resolution status, and customer satisfaction."

03

"Generate a weekly performance report for all support agents handling video calls."

Troubleshooting SnapCall MCP Server with LlamaIndex

Common issues when connecting SnapCall to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

SnapCall + LlamaIndex FAQ

Common questions about integrating SnapCall MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query SnapCall tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.