How do I find my HelpCrunch API Key?

Log in to your HelpCrunch dashboard, navigate to **Settings > Developers > Public API**. You will be able to generate and copy your unique Bearer token from there.

Can I reassign a chat to another team member?

Yes! Use the `update_chat_assignee` tool. You must provide the `chat_id` and the numeric `assignee_id` of the team member you wish to assign the conversation to.

How can I filter chats by status?

Use the `search_chats` tool and provide a JSON filter string. For example, to find open chats, pass `{"status": "open"}` in the `filter_json` parameter.

Is it possible to tag customers through this integration?

Yes, you can use the `add_customer_tag` tool. Provide the `customer_id` and the name of the tag you want to add to their profile.

HelpCrunch MCP Server for LangChain 11 tools — connect in under 2 minutes

Name: HelpCrunch
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect HelpCrunch through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 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({
        "helpcrunch": {
            "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 HelpCrunch, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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 HelpCrunch MCP Server

Connect your HelpCrunch account to any AI agent and take full control of your customer communication and support workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with HelpCrunch through native MCP adapters. Connect 11 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

Chat Oversight — List all active and past conversations, retrieve full transcripts, and monitor response times.
Customer Management — Access detailed customer profiles, add descriptive tags, and track user interaction history.
Team Coordination — Reassign chats to specific team members or departments to ensure the right person handles every query.
Proactive Support — Search through chats using complex filters to identify trends or urgent customer issues.
Workflow Automation — Update chat statuses (closed, open, snoozed) directly from the chat interface.
Operational Efficiency — List support departments and monitor the overall health of your customer service operations.

The HelpCrunch MCP Server exposes 11 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.

How to Connect HelpCrunch to LangChain via MCP

Follow these steps to integrate the HelpCrunch MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 11 tools from HelpCrunch via MCP

Why Use LangChain with the HelpCrunch MCP Server

LangChain provides unique advantages when paired with HelpCrunch through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine HelpCrunch 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 HelpCrunch queries for multi-turn workflows

HelpCrunch + LangChain Use Cases

Practical scenarios where LangChain combined with the HelpCrunch MCP Server delivers measurable value.

RAG with live data: combine HelpCrunch tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query HelpCrunch, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain HelpCrunch tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every HelpCrunch tool call, measure latency, and optimize your agent's performance

HelpCrunch MCP Tools for LangChain (11)

These 11 tools become available when you connect HelpCrunch to LangChain via MCP:

add_customer_tag

Add a label/tag to a customer profile

get_chat_details

Get detailed information about a specific chat

get_customer_details

Get detailed profile information for a specific customer

list_chat_messages

Useful for understanding context or historical interactions. List all messages within a specific chat

list_chats

Each chat includes basic metadata and status. List all conversations (chats) in HelpCrunch

list_customers

List all customers (contacts) in HelpCrunch

list_departments

List all support departments

search_chats

Pass filter criteria as a JSON string in "filter_json" (e.g., {"status": "open"}). Search for chats using filters

send_message

Pass the payload as a JSON string in "body_json" (e.g., {"chat": 123, "text": "Hello"}). Send a message to a chat

update_chat_assignee

Assign a chat to a specific team member

update_chat_status

Update the status of a chat (e.g., closed, open)

Example Prompts for HelpCrunch in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with HelpCrunch immediately.

"List all open chats and show the last message for each."

"Search for all chats from the customer with email 'john.doe@example.com'."

"Tag customer ID 5592 with 'VIP' and 'Priority Support'."

Troubleshooting HelpCrunch MCP Server with LangChain

Common issues when connecting HelpCrunch to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

HelpCrunch + LangChain FAQ

Common questions about integrating HelpCrunch MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.