Heymarket MCP Server for LangChainGive LangChain instant access to 9 tools to Create Contact, Get Chat History, Get Message Details, and more
LangChain is the leading Python framework for composable LLM applications. Connect Heymarket 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 Heymarket app connector for LangChain is a standout in the Communication Messaging category — giving your AI agent 9 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({
"heymarket": {
"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 Heymarket, 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 Heymarket MCP Server
Connect your Heymarket account to any AI agent and take full control of your business text messaging and SMS workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Heymarket through native MCP adapters. Connect 9 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
- SMS Orchestration — Send and receive text messages programmatically across your business numbers
- Shared Inbox Management — Monitor active chat threads and manage team-based conversations in real-time
- Contact Relationships — Create and update detailed contact profiles to maintain a high-fidelity customer database
- Team Collaboration — Retrieve staff member directories and manage assignments for inbound message routing
- Message Monitoring — Track outbound message delivery status and retrieve complete conversation histories for audit
The Heymarket MCP Server exposes 9 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 9 Heymarket tools available for LangChain
When LangChain connects to Heymarket through Vinkius, your AI agent gets direct access to every tool listed below — spanning business-sms, mms-messaging, shared-inbox, 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.
Register a new contact
Get conversation history
Get details for a message
List active conversations
Supports filtering by phone number. List Heymarket contacts
List Heymarket workspace members
Requires member_id and to_number. Send an SMS or MMS message
Modify chat state or assignment
Modify an existing contact
Connect Heymarket to LangChain via MCP
Follow these steps to wire Heymarket 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 Heymarket MCP Server
LangChain provides unique advantages when paired with Heymarket through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Heymarket 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 Heymarket queries for multi-turn workflows
Heymarket + LangChain Use Cases
Practical scenarios where LangChain combined with the Heymarket MCP Server delivers measurable value.
RAG with live data: combine Heymarket tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Heymarket, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Heymarket tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Heymarket tool call, measure latency, and optimize your agent's performance
Example Prompts for Heymarket in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Heymarket immediately.
"Send an SMS 'Your order is ready!' to '+15551234567' using member 'M123'."
"List all active chat conversations from the shared inbox."
"Update contact 'C456' with first name 'John' and add a note."
Troubleshooting Heymarket MCP Server with LangChain
Common issues when connecting Heymarket to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersHeymarket + LangChain FAQ
Common questions about integrating Heymarket 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.