Chiirp MCP Server for LangChainGive LangChain instant access to 12 tools to Apply Tag, Check Chiirp Status, Create Contact, and more
LangChain is the leading Python framework for composable LLM applications. Connect Chiirp 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 App Connector for LangChain
The Chiirp app connector for LangChain 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 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({
"chiirp": {
"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 Chiirp, 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 Chiirp MCP Server
Connect your Chiirp account to any AI agent and manage your lead automation CRM through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Chiirp through native MCP adapters. Connect 12 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
- 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 LangChain 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 LangChain
When LangChain 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 LangChain via MCP
Follow these steps to wire Chiirp into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Chiirp MCP Server
LangChain provides unique advantages when paired with Chiirp through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Chiirp 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 Chiirp queries for multi-turn workflows
Chiirp + LangChain Use Cases
Practical scenarios where LangChain combined with the Chiirp MCP Server delivers measurable value.
RAG with live data: combine Chiirp tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Chiirp, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Chiirp tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Chiirp tool call, measure latency, and optimize your agent's performance
Example Prompts for Chiirp in LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Chiirp to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersChiirp + LangChain FAQ
Common questions about integrating Chiirp 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.