How to Use the Betterfly MCP in LlamaIndex

Q: How do I add Betterfly to a LlamaIndex agent?

Install llama-index-tools-mcp. Set up a BasicMCPClient with your Vinkius URL, convert it using McpToolSpec, and pass the list to a FunctionAgent.

Q: Can LlamaIndex search through Betterfly user rewards?

Yes. It can call getuserrewards and index the results. This lets you build RAG systems that answer specific questions about distributed bonuses.

Q: What is the best way to track ecosystem partners?

Have your agent execute listpartners. It grabs the linked corporate partners and adds them to your searchable knowledge base.

Index corporate wellness and ESG data from Betterfly directly into your LlamaIndex RAG applications.

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Connect Betterfly MCP to LlamaIndex

Create your Vinkius account to connect Betterfly 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.

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Setup Betterfly with LlamaIndex

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Index Betterfly ESG data with this MCP Server.

You want your internal HR bot to actually know what your company is doing for sustainability. Connect this server to LlamaIndex, and your agent can pull `get_impact_stats` alongside `list_donations`. Instead of just returning a quick answer, it indexes those exact social metrics into your vector store. Now your employees can ask questions about corporate giving, and the answers are grounded in real data. The agent searches the index, finds the specific donation records, and builds a factual response.

Build a searchable wellness benefits database.

Nobody knows what their corporate insurance actually covers. You can fix that by having your MCP client run `list_benefits` and `list_insurance`. It grabs the accessible perks and covered scopes, then turns them into searchable documents. When a team member asks about mental health coverage, LlamaIndex queries that exact dataset. It pulls from the live benefits list rather than hallucinating a generic HR policy.

Query historical team challenge performance.

Tracking how wellness initiatives perform over time takes effort. Your LlamaIndex setup can ingest data from `list_challenges` and `get_company_metrics` on a schedule. It builds an ongoing knowledge base of how many people participated and what the aggregate stats looked like. You can ask your agent to compare the spring walking challenge to the winter fitness drive. It cross-references the indexed tool outputs to give you a precise breakdown of engagement trends.

Setup guide

Set up Betterfly 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 Betterfly 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 Betterfly tools.",
)
response = await agent.run("List recent Betterfly data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Betterfly. 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.

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Common questions about Betterfly MCP in LlamaIndex

Install `llama-index-tools-mcp`. Set up a `BasicMCPClient` with your Vinkius URL, convert it using `McpToolSpec`, and pass the list to a `FunctionAgent`.

Yes. It can call `get_user_rewards` and index the results. This lets you build RAG systems that answer specific questions about distributed bonuses.

It exposes endpoints as tools. LlamaIndex executes them and converts the JSON responses into documents for your vector store.

Have your agent execute `list_partners`. It grabs the linked corporate partners and adds them to your searchable knowledge base.

Vinkius secures your connection with a zero-trust V8 Isolate Sandbox. When your system indexes covered scopes from `list_insurance`, the transmission is ephemeral and leaves no trace on our servers.

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