8x8 MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Check 8x8 Status, Check Verification, Get Account Balance, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add 8x8 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 8x8 app connector for LlamaIndex is a standout in the Communication Messaging category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 8x8. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in 8x8?"
)
print(response)
asyncio.run(main())
* 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 8x8 MCP Server
Connect your 8x8 Connect account to any AI agent and manage SMS, chat, voice, and verification workflows through natural conversation.
LlamaIndex agents combine 8x8 tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- SMS Messaging — Send text messages to any phone number worldwide and track delivery status
- Chat Messaging — Send messages through WhatsApp, Viber, and LINE channels
- Voice Calls — Initiate text-to-speech voice calls and check call status
- Phone Verification — Send OTP codes via SMS and validate user submissions
- Account Management — List sub-accounts and check account balance
- Delivery Tracking — Monitor SMS and voice call delivery status in real time
The 8x8 MCP Server exposes 10 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 10 8x8 tools available for LlamaIndex
When LlamaIndex connects to 8x8 through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-communications, sms-api, voice-calls, 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.
Verify API connectivity
Verify an OTP code
Get account balance
Get voice call status
Get SMS delivery status
List sub-accounts
Send a chat message
Send an SMS message
Send a verification code
Make a text-to-speech call
Connect 8x8 to LlamaIndex via MCP
Follow these steps to wire 8x8 into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the 8x8 MCP Server
LlamaIndex provides unique advantages when paired with 8x8 through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine 8x8 tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain 8x8 tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query 8x8, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what 8x8 tools were called, what data was returned, and how it influenced the final answer
8x8 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the 8x8 MCP Server delivers measurable value.
Hybrid search: combine 8x8 real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query 8x8 to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying 8x8 for fresh data
Analytical workflows: chain 8x8 queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for 8x8 in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with 8x8 immediately.
"Send an SMS to +14155551234 saying 'Your appointment is confirmed for tomorrow at 3PM'."
"Send a verification code to +5511999887766."
"Check my 8x8 account balance."
Troubleshooting 8x8 MCP Server with LlamaIndex
Common issues when connecting 8x8 to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcp8x8 + LlamaIndex FAQ
Common questions about integrating 8x8 MCP Server with LlamaIndex.