How do I find my Helpshift API Key?

Log in to your Helpshift dashboard, go to **Settings > API**, and you will find your **API Key** listed there. This key is used as the username for Basic Authentication.

What is the 'Domain' in the setup?

The domain is the unique identifier for your Helpshift instance (e.g., if you access it at `company.helpshift.com`, your domain is `company`).

Can I see the history of actions taken on an issue?

Yes! Use the `get_issue_audit_logs` tool (v2). It retrieves the action history, showing when status was changed, who was assigned, and which tags were added.

Is the integration secure for support data?

Absolutely. The integration uses industry-standard Basic Authentication over HTTPS. Your credentials are encrypted and stored securely within the Vinkius Cloud infrastructure.

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

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

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Helpshift MCP Server

Connect your Helpshift platform to any AI agent and take full control of your customer support and user hub workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Helpshift 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

Issue Oversight — List all support issues, retrieve detailed metadata, and monitor audit logs for action history.
Response Management — Add messages to existing issues and update statuses (Resolved, Rejected) directly from the chat.
Content Insights — Browse your published FAQ articles and sections to ensure documentation is accurate.
User Hub Operations — Perform bulk user profile updates and creation tasks using the User Hub v2 API.
Application Visibility — List all registered apps in your Helpshift dashboard to ensure correct routing.
Operational Efficiency — Track the progress of bulk identity tasks and monitor support volume in real-time.

The Helpshift 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 Helpshift to LangChain via MCP

Follow these steps to integrate the Helpshift 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 Helpshift via MCP

Why Use LangChain with the Helpshift MCP Server

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

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

Helpshift + LangChain Use Cases

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

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

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

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

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

Helpshift MCP Tools for LangChain (11)

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

add_issue_message

Pass the message details as a JSON string in "body_json". Add a message to an existing issue

bulk_user_action

Pass the actions array as a JSON string in "body_json". Perform bulk profile operations (v2)

create_issue

Pass the payload as a JSON string in "body_json" (requires app_id, title, body). Create a new support issue

get_bulk_task_status

Check the status of a bulk profile operation

get_issue_audit_logs

Retrieve the action history for a specific issue

get_issue_details

Get detailed information about a specific issue

list_faq_sections

List FAQ categories/sections

list_faqs

List all published FAQ articles

list_issues

Useful for monitoring support volume and identifying urgent cases. List support issues/tickets in Helpshift

list_registered_apps

List all applications registered in your Helpshift dashboard

update_issue_status

Update the status of an issue (e.g., Resolved, Rejected)

Example Prompts for Helpshift in LangChain

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

"List all active issues and show their audit logs."

"Add a reply to issue ID 5501: 'We are investigating the logs now'."

"Search for FAQ articles related to 'subscription renewal'."

Troubleshooting Helpshift MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Helpshift + LangChain FAQ

Common questions about integrating Helpshift 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.