Helpjuice MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Helpjuice as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Helpjuice. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Helpjuice?"
)
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 Helpjuice MCP Server
Connect your Helpjuice knowledge base to any AI agent and take full control of your internal and external documentation through natural conversation.
LlamaIndex agents combine Helpjuice tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Article Management — List all articles, retrieve full content, and create or update documentation directly from the chat.
- Search Capabilities — Perform text-based searches across your entire knowledge base to find answers quickly.
- Content Organization — List and manage categories to keep your documentation structured and easy to navigate.
- Analytics Insights — Retrieve engagement statistics for specific articles and monitor recent search trends.
- User & Group Oversight — Access lists of internal contributors and user groups defined for permissions.
- Interactive Voting — Record upvotes and downvotes for articles to track content helpfulness.
The Helpjuice MCP Server exposes 12 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 Helpjuice to LlamaIndex via MCP
Follow these steps to integrate the Helpjuice 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 12 tools from Helpjuice
Why Use LlamaIndex with the Helpjuice MCP Server
LlamaIndex provides unique advantages when paired with Helpjuice through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Helpjuice tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Helpjuice tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Helpjuice, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Helpjuice tools were called, what data was returned, and how it influenced the final answer
Helpjuice + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Helpjuice MCP Server delivers measurable value.
Hybrid search: combine Helpjuice real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Helpjuice 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 Helpjuice for fresh data
Analytical workflows: chain Helpjuice queries with LlamaIndex's data connectors to build multi-source analytical reports
Helpjuice MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Helpjuice to LlamaIndex via MCP:
create_article
Requires a name/title. Pass body fields as a JSON string in "body_json". Create a new article in the knowledge base
downvote_article
Record a downvote for an article
get_article_details
Get detailed content and metadata for a specific article
get_article_stats
Get engagement statistics for a specific article
get_search_trends
List recent search terms used by visitors
list_articles
Useful for getting a birds-eye view of your content library. List all articles in the Helpjuice knowledge base
list_categories
List all categories in the knowledge base
list_kb_groups
List user groups defined for permissions
list_kb_users
List all internal users/authors in Helpjuice
search_kb
Useful for finding existing answers to customer questions. Search the knowledge base for articles matching a query
update_article
Update an existing article
upvote_article
Record an upvote for an article
Example Prompts for Helpjuice in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Helpjuice immediately.
"Find articles related to 'OAuth integration'."
"List all categories in my knowledge base."
"Show me the engagement stats for article ID 1021."
Troubleshooting Helpjuice MCP Server with LlamaIndex
Common issues when connecting Helpjuice to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHelpjuice + LlamaIndex FAQ
Common questions about integrating Helpjuice 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 Helpjuice 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 Helpjuice to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.