How to Use the Chili Piper MCP in LlamaIndex

Q: How do I build a RAG app for Chili Piper with LlamaIndex?

You connect the McpToolSpec to your LlamaIndex agent. The agent uses the Chili Piper tools to fetch live data, which LlamaIndex then indexes. Your queries hit that index, giving you answers based on fresh, accurate information.

Q: What's the difference between listchiliqueues and getqueuedetails?

listchiliqueues gives you a full list of all your routing queues. getqueuedetails takes a specific queue ID and gives you detailed information about just that one.

Index your Chili Piper configuration with LlamaIndex and ask plain-English questions about your sales funnels.

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Connect Chili Piper MCP to LlamaIndex

Create your Vinkius account to connect Chili Piper to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Chili Piper with LlamaIndex

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Build a Searchable Meeting Index

Use LlamaIndex to create a private knowledge base from your sales meetings. Set up an agent to periodically run `list_booked_meetings` and feed the results directly into a vector index. This turns raw meeting data into a queryable resource. Now your team can ask questions like, "How many meetings did Alex book last month?" or "Show me all meetings related to the 'Project X' deal." LlamaIndex finds the answer from your actual Chili Piper data, so you know it's accurate.

Query Your Routing Logic with this MCP Server

Stop guessing how your leads are being routed. This MCP Server lets your agent map out the entire setup. It can call `list_inbound_routers`, `list_chili_queues`, and `get_queue_details`, then LlamaIndex vectorizes all of it. Once indexed, your RAG application can answer complex questions instantly. Ask, "Which router sends leads to the enterprise queue?" or "What's the current capacity of the SMB queue?" and get an immediate, grounded answer.

Understand Team Structure on Demand

Forget digging through the Chili Piper UI to find who's on what team. Have your LlamaIndex agent call `list_chili_teams` and index the roster. That's it. The current team structure is now part of your knowledge base. When a new lead comes in and you need to know who's on the "East Coast Accounts" team, you just ask your agent. It queries its index of your real account data and gives you the answer.

Setup guide

Set up Chili Piper MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Chili Piper MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Chili Piper tools.",
)
response = await agent.run("List recent Chili Piper data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Chili Piper. 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.

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Common questions about Chili Piper MCP in LlamaIndex

LlamaIndex uses an MCP tool specification to get the available Chili Piper tools. Your agent calls the tools, and LlamaIndex takes the output—like a list of meetings or queues—and puts it into a vector index for you to query.

Absolutely. You can build a RAG pipeline where an agent calls `list_booked_meetings` and indexes the results. This makes your entire meeting history searchable with natural language.

You connect the `McpToolSpec` to your LlamaIndex agent. The agent uses the Chili Piper tools to fetch live data, which LlamaIndex then indexes. Your queries hit that index, giving you answers based on fresh, accurate information.

`list_chili_queues` gives you a full list of all your routing queues. `get_queue_details` takes a specific queue ID and gives you detailed information about just that one.

No. The Vinkius platform isolates each MCP tool call in a secure sandbox. The server processes meeting details, router configurations, and queue settings for your agent, but it doesn't store or log your data after the operation completes.

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