How to Use the Hiver MCP in LlamaIndex

Q: How do I connect Hiver to LlamaIndex?

Install the llama-index-tools-mcp package and set up a basic MCP client. Wrap it in a tool spec and convert it asynchronously to a tool list for your agent.

Q: Will my LlamaIndex RAG application see all Hiver tags?

It pulls exactly what exists in the system. Calling listinboxtags lets you index the taxonomy, making semantic routing highly accurate when categorizing new tickets.

Q: How do I verify the connection before indexing?

Run testhiverauth or call getapistatus. These lightweight checks ensure your credentials work before you kick off a massive data ingestion job.

Index your Hiver shared inboxes into LlamaIndex to build semantic search over your entire customer support history.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Hiver MCP to LlamaIndex

Create your Vinkius account to connect Hiver to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Hiver with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Embed support threads into LlamaIndex

Historical support tickets hold massive value, but only if you can search them. This MCP Server lets your application pull active data using `list_inbox_conversations`. You grab the raw text and push it straight into a vector store. Once indexed, your RAG application queries past resolutions before suggesting new answers. The system calls `get_conversation_details` to pull the full context of similar closed tickets. Your agents stop hallucinating and start grounding their answers in actual company history.

Map your team structure dynamically

Support organizations change constantly. You don't want to manually update your RAG prompt every time someone joins the team. The agent runs `list_inbox_members` to index the current roster. When a query asks about billing specialists, the application references the live team data. It can even combine that with `search_team_members` to find specific subject matter experts before drafting a reply.

Go from search to drafting

Finding the right answer is only half the job. After LlamaIndex retrieves the relevant context from the vector store, the agent takes action. It calls `create_shared_draft` to write the response directly in Gmail. You keep the human in the loop. The agent drafts the email based on semantic search results, then runs `update_thread_status` to flag it for review. Your support staff just hits send.

Setup guide

Set up Hiver MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Hiver MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Hiver tools.",
)
response = await agent.run("List recent Hiver data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hiver. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Hiver now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Hiver MCP in LlamaIndex

Install the `llama-index-tools-mcp` package and set up a basic MCP client. Wrap it in a tool spec and convert it asynchronously to a tool list for your agent.

Yes. You apply an allowed tools filter when configuring the client. This restricts the agent to read-only operations like `get_inbox_details` if you want to prevent accidental drafts.

It pulls exactly what exists in the system. Calling `list_inbox_tags` lets you index the taxonomy, making semantic routing highly accurate when categorizing new tickets.

Run `test_hiver_auth` or call `get_api_status`. These lightweight checks ensure your credentials work before you kick off a massive data ingestion job.

The zero-trust architecture ensures your customer names and email bodies never leak. The server operates ephemerally, passing data strictly via one endpoint token straight to your local vector store.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript