FynCom MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Add Reward Lead, Get Campaign Details, Get Wallet Balance, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add FynCom 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 App Connector for LlamaIndex
The FynCom app connector for LlamaIndex is a standout in the Customer Support category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 FynCom. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in FynCom?"
)
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 FynCom MCP Server
Connect your FynCom account to any AI agent and take full control of your user incentives and reward operations through natural conversation.
LlamaIndex agents combine FynCom tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- Reward Orchestration — Send instant cryptocurrency or fiat rewards to users or email addresses programmatically to incentivize engagement and feedback
- Campaign Management — Access and monitor your active reward campaigns and retrieve detailed performance and lead metadata in real-time
- Lead Engagement Tracking — Add leads to specific reward workflows programmatically from your AI agent to trigger automated incentives and follow-ups
- Wallet Intelligence — Check your real-time rewards wallet balance directly through your agent to ensure uninterrupted delivery of user incentives
- Transaction Oversight — Get a comprehensive overview of your reward history and campaign health using natural language commands
The FynCom MCP Server exposes 6 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.
All 6 FynCom tools available for LlamaIndex
When LlamaIndex connects to FynCom through Vinkius, your AI agent gets direct access to every tool listed below — spanning micro-payments, incentives, rewards, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Pass data in JSON. Add a lead to a reward campaign
Get specific campaign details
Check current rewards wallet balance
List active reward campaigns
List history of sent rewards
Pass data as a JSON string. Send a reward or incentive
Connect FynCom to LlamaIndex via MCP
Follow these steps to wire FynCom into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the FynCom MCP Server
LlamaIndex provides unique advantages when paired with FynCom through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine FynCom tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain FynCom tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query FynCom, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what FynCom tools were called, what data was returned, and how it influenced the final answer
FynCom + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the FynCom MCP Server delivers measurable value.
Hybrid search: combine FynCom real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query FynCom 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 FynCom for fresh data
Analytical workflows: chain FynCom queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for FynCom in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with FynCom immediately.
"List all active reward campaigns in FynCom."
"Send a $5 reward to 'user@example.com'."
"Check my FynCom wallet balance."
Troubleshooting FynCom MCP Server with LlamaIndex
Common issues when connecting FynCom to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFynCom + LlamaIndex FAQ
Common questions about integrating FynCom MCP Server with LlamaIndex.