Betterfly MCP Server for LlamaIndex 14 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Betterfly 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 Betterfly. "
"You have 14 tools available."
),
)
response = await agent.run(
"What tools are available in Betterfly?"
)
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 Betterfly MCP Server
Connect your Betterfly Corporate API to any AI agent and bring ESG (Environmental, Social, and Governance) analytics naturally into your chats.
LlamaIndex agents combine Betterfly tool responses with indexed documents for comprehensive, grounded answers. Connect 14 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
- Impact Analytics — Aggregate your entire company's donations (arising from employees burning Bettercoins synced from physical exercise).
- User Engagement — Check an employee’s participation rate, specific metrics, or overall unspent Bettercoins inside the reward marketplace.
- Challenges & Activities — See the historical trail of burned calories, recorded steps, or internal corporate races occurring right now.
- Insurtech & Benefits — Dynamically list available sub-benefits included in your corporate policy.
The Betterfly MCP Server exposes 14 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 Betterfly to LlamaIndex via MCP
Follow these steps to integrate the Betterfly 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 14 tools from Betterfly
Why Use LlamaIndex with the Betterfly MCP Server
LlamaIndex provides unique advantages when paired with Betterfly through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Betterfly tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Betterfly tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Betterfly, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Betterfly tools were called, what data was returned, and how it influenced the final answer
Betterfly + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Betterfly MCP Server delivers measurable value.
Hybrid search: combine Betterfly real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Betterfly 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 Betterfly for fresh data
Analytical workflows: chain Betterfly queries with LlamaIndex's data connectors to build multi-source analytical reports
Betterfly MCP Tools for LlamaIndex (14)
These 14 tools become available when you connect Betterfly to LlamaIndex via MCP:
assign_reward
Allocate manual recognition bonus
create_challenge
Initialize team activity challenge
get_company_metrics
Get aggregate well-being stats
get_impact_stats
Measure ESG and social metrics
get_user
Get user wellness details
get_user_rewards
Get user unlocked rewards
list_activities
It can track global corporate steps or an individual’s synced activities. List wellness activities
list_benefits
List accessible benefits
list_challenges
List active corporate challenges
list_donations
List corporate donations
list_insurance
Fetch covered scopes
list_partners
Evaluate linked ecosystem partners
list_users
List corporate users (members)
pause_user
Temporarily restrict a user account
Example Prompts for Betterfly in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Betterfly immediately.
"Review the company-wide metrics and highlight our total generated ESG impact via Betterfly."
"Check the available balance and internal unlocked perks for user ID 40x889a."
"What rewards are officially active for redemption locally today?"
Troubleshooting Betterfly MCP Server with LlamaIndex
Common issues when connecting Betterfly to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBetterfly + LlamaIndex FAQ
Common questions about integrating Betterfly 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 Betterfly 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 Betterfly to LlamaIndex
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.