Chiirp MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Apply Tag, Check Chiirp Status, Create Contact, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Chiirp 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 App Connector for LlamaIndex
The Chiirp app connector for LlamaIndex is a standout in the Marketing Automation category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Chiirp. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Chiirp?"
)
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 Chiirp MCP Server
Connect your Chiirp account to any AI agent and manage your lead automation CRM through natural conversation.
LlamaIndex agents combine Chiirp tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Contacts — Create, search, update, and list contacts with full CRM metadata.
- Tags — Apply and remove tags to segment contacts and trigger automations.
- Campaigns — View active SMS and drip campaigns with engagement data.
- Sequences — Monitor automation sequences and drip workflows.
- Profile — Access your account profile and verify API connectivity.
The Chiirp MCP Server exposes 12 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.
All 12 Chiirp tools available for LlamaIndex
When LlamaIndex connects to Chiirp through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-marketing, drip-campaigns, lead-nurturing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Useful for segmentation and triggering automations. Apply a tag to a contact
Verify Chiirp API connectivity
Phone number is required as the unique identifier. Create a new contact
Get details of a specific contact
Get your Chiirp account profile
List all campaigns
List all contacts in your Chiirp account
List all automation sequences
List all available tags
Remove a tag from a contact
Search contacts by phone number
Only provided fields are changed. Update an existing contact
Connect Chiirp to LlamaIndex via MCP
Follow these steps to wire Chiirp into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Chiirp MCP Server
LlamaIndex provides unique advantages when paired with Chiirp through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Chiirp tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Chiirp tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Chiirp, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Chiirp tools were called, what data was returned, and how it influenced the final answer
Chiirp + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Chiirp MCP Server delivers measurable value.
Hybrid search: combine Chiirp real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Chiirp 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 Chiirp for fresh data
Analytical workflows: chain Chiirp queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Chiirp in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Chiirp immediately.
"List all my contacts in Chiirp."
"Apply the 'hot-lead' tag to the contact with phone +1-555-0303."
"Create a new contact for +1-555-0404 named Sarah Johnson."
Troubleshooting Chiirp MCP Server with LlamaIndex
Common issues when connecting Chiirp to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpChiirp + LlamaIndex FAQ
Common questions about integrating Chiirp MCP Server with LlamaIndex.