Five9 MCP Server for LangChain 11 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Five9 through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"five9": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Five9, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Five9 through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Five9 MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 11 tools from Five9 via MCP
Why Use LangChain with the Five9 MCP Server
LangChain provides unique advantages when paired with Five9 through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Five9 MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Five9 queries for multi-turn workflows
Five9 + LangChain Use Cases
Practical scenarios where LangChain combined with the Five9 MCP Server delivers measurable value.
RAG with live data: combine Five9 tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Five9, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Five9 tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Five9 tool call, measure latency, and optimize your agent's performance
Five9 MCP Tools for LangChain (11)
These 11 tools become available when you connect Five9 to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Five9 to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFive9 + LangChain FAQ
Common questions about integrating Five9 MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.