Helpshift MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Helpshift 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Helpshift. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Helpshift?"
)
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 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.
LlamaIndex agents combine Helpshift tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- 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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Helpshift MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 11 tools from Helpshift
Why Use LlamaIndex with the Helpshift MCP Server
LlamaIndex provides unique advantages when paired with Helpshift through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Helpshift tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Helpshift tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Helpshift, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Helpshift tools were called, what data was returned, and how it influenced the final answer
Helpshift + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Helpshift MCP Server delivers measurable value.
Hybrid search: combine Helpshift real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Helpshift 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 Helpshift for fresh data
Analytical workflows: chain Helpshift queries with LlamaIndex's data connectors to build multi-source analytical reports
Helpshift MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect Helpshift to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Helpshift to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHelpshift + LlamaIndex FAQ
Common questions about integrating Helpshift MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Helpshift with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Helpshift to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.