Five9 MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Five9 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Five9. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Five9?"
)
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 Five9 MCP Server
Connect your Five9 account to any AI agent and automate your contact center management through the Model Context Protocol (MCP). Five9 is a leading cloud contact center solution, and with this server, supervisors and administrators can monitor agent states, manage active interactions, and fetch real-time performance statistics directly through natural conversation.
LlamaIndex agents combine Five9 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
- Agent State Monitoring — List the operational states of all agents and retrieve detailed state information for specific individuals.
- Campaign & Skill Overview — Access all configured campaigns and skills to understand your contact center's distribution and capacity.
- Interaction Management — List all active call or digital interactions and force-terminate sessions when necessary.
- Real-time Statistics — Fetch high-level contact center metrics to keep your pulse on performance without leaving your chat interface.
- Remote Agent Control — Update an agent's state (e.g., force to READY or LOGOUT) remotely to manage floor coverage efficiently.
- User & Group Discovery — List all users and agent groups defined in your organization for better context and reporting.
- Seamless Session Management — The server handles secure login and session token management automatically.
The Five9 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.
How to Connect Five9 to LlamaIndex via MCP
Follow these steps to integrate the Five9 MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 11 tools from Five9
Why Use LlamaIndex with the Five9 MCP Server
LlamaIndex provides unique advantages when paired with Five9 through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Five9 tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Five9 tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Five9, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Five9 tools were called, what data was returned, and how it influenced the final answer
Five9 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Five9 MCP Server delivers measurable value.
Hybrid search: combine Five9 real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Five9 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 Five9 for fresh data
Analytical workflows: chain Five9 queries with LlamaIndex's data connectors to build multi-source analytical reports
Five9 MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect Five9 to LlamaIndex via MCP:
get_agent_state
Get specific agent state
get_statistics
Get real-time statistics
list_active_interactions
List active interactions
list_agent_groups
List agent groups
list_agent_states
List all agent states
list_campaigns
List all campaigns
list_skills
List all skills
list_users
List all users
logout_session
Logout supervisor session
terminate_interaction
Terminate an interaction
update_agent_state
g., READY, NOT_READY, LOGOUT). Force update agent state
Example Prompts for Five9 in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Five9 immediately.
"Show me the current state of all agents."
"Get real-time contact center statistics."
"Force agent 'agent_123' to 'LOGOUT' state."
Troubleshooting Five9 MCP Server with LlamaIndex
Common issues when connecting Five9 to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFive9 + LlamaIndex FAQ
Common questions about integrating Five9 MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Five9 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Five9 to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.