Chili Piper MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
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.
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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 Chili Piper. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Chili Piper?"
)
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 Chili Piper MCP Server
Connect your Chili Piper account to any AI agent and take full control of your scheduling and lead routing workflows through natural conversation. Streamline how your sales team connects with prospects.
LlamaIndex agents combine Chili Piper tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- Queue Oversight — List and retrieve details for all active lead routing and booking queues natively
- Meeting Intelligence — Access recently booked meetings and retrieve detailed event metadata flawlessly
- Router Management — List all inbound routers used for form routing and lead distribution securely
- Team Oversight — Monitor all teams configured in your account and verify their member rosters flawlessly
- Engagement Tracking — Access meeting reminders and templates to ensure consistent prospect communication flawlessly
- Account Visibility — Retrieve core account information and user settings directly within your workspace
The Chili Piper MCP Server exposes 8 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 8 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 (8)
These 8 tools become available when you connect Chili Piper to LlamaIndex via MCP:
get_chili_account_info
Retrieve core account and user information
get_meeting_details
Get detailed information for a specific meeting
get_queue_details
Get detailed information for a specific queue
list_booked_meetings
List recently booked meetings
list_chili_queues
List all routing queues
list_chili_teams
List all teams configured in the account
list_inbound_routers
List all inbound routers used for form routing
list_meeting_reminders
List configured meeting reminders and templates
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 my last 5 booked meetings in Chili Piper."
"Show me all active routing queues."
"Who are the members of the 'Inside Sales' team?"
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
pip install llama-index-tools-mcpChili Piper + LlamaIndex FAQ
Common questions about integrating Chili Piper 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 Chili Piper 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 Chili Piper to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
