Can my agent check why a specific rep is not getting leads?

Yes. Ask your agent to get queue details for your distribution group. It surfaces the weights and distribution history for each member, allowing you to quickly spot misconfigured weights or availability issues that block lead routing.

How do I generate a booking link for a prospect during a chat?

Provide your agent with the prospect's email and name, and specify a Concierge route. The agent calls the Chili Piper API to generate a personalized, ephemeral booking link that you can share immediately in your outreach.

Can I audit all meetings that ended as a 'No-Show' this week?

Absolutely. List your meetings for the desired date range and ask your agent to filter for No-Show status. It aggregates the data directly from Chili Piper, helping you track pipeline health without manual exports.

Chili Piper MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Chili Piper
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 Chili Piper. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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* 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 Chili Piper MCP Server

Connect your Chili Piper account to any AI agent and turn inbound leads into meetings through natural conversation.

LlamaIndex agents combine Chili Piper 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

Concierge Routes — List and audit your inbound routing rules that dictate how leads connect with your team
Distribution Queues — Manage SDR and AE groups, check weights, and monitor round-robin distributions
Instant Booking — Generate ephemeral booking links for specific leads and routes directly in your chat
Meeting Management — List scheduled meetings, check status (Booked, No-Show), and handle cancellations with reasons
Team Availability — Check any member's free slots and availability windows across Google or Outlook calendars

The Chili Piper 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.

How to Connect Chili Piper to LlamaIndex via MCP

Follow these steps to integrate the Chili Piper 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 10 tools from Chili Piper

Why Use LlamaIndex with the Chili Piper MCP Server

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

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

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

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

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

Chili Piper + LlamaIndex Use Cases

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

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

Data enrichment: query Chili Piper 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 Chili Piper for fresh data

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

Chili Piper MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Chili Piper to LlamaIndex via MCP:

cancel_meeting

Irreversibly vaporize explicit validations extracting active scheduling blocks

generate_booking_link

Provision a highly-available JSON Payload generating hard Calendar links

get_availability

Retrieve explicit analytics/statistics representing physical white-space

get_meeting_details

Retrieve the exact structural matching verifying explicit Meeting payloads

get_queue_details

Get an explicit full Chili Piper Queue layout including weight distributions

get_route_details

Perform structural extraction of properties driving active Router mapping

list_meetings

Enumerate explicitly attached structured rules exporting active scheduling lists

list_members

Retrieve explicit Cloud logging tracing explicit Member accounts

list_queues

Identify precise active arrays spanning native Round-Robin grouping

list_routes

Identify bounded logical arrays managing top-level unified Concierge rules in Chili Piper

Example Prompts for Chili Piper in LlamaIndex

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

"List all Concierge routes"

"Generate a booking link for sarah@example.com using the 'Inbound Demo' route"

"What is the availability of rep @JohnDoe for tomorrow?"

Troubleshooting Chili Piper MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Chili Piper + LlamaIndex FAQ

Common questions about integrating Chili Piper MCP Server with LlamaIndex.

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.

Can I combine MCP tools with vector stores?

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