How to Use the FynCom MCP in LlamaIndex

Q: How do I initialize the FynCom tools in LlamaIndex?

Install llama-index-tools-mcp and set up a BasicMCPClient. Wrap it with McpToolSpec and call totoollistasync() to pass the FynCom endpoints to your agent.

Q: Can LlamaIndex query my FynCom reward history?

Your agent calls listrewardhistory to pull the raw logs. It then indexes those records so you can ask natural language questions about your payout volume.

Q: How does the agent know which FynCom campaign to use?

The agent runs listrewardcampaigns to find active programs. It can then run getcampaigndetails to pull the specific budget rules into its working memory.

Index FynCom logs via this MCP server into LlamaIndex for RAG applications.

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Connect FynCom MCP to LlamaIndex

Create your Vinkius account to connect FynCom 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 FynCom with LlamaIndex

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Index MCP Server transaction data

The `list_reward_history` tool feeds your past micro-payment logs straight into your LlamaIndex vector store. Your application ingests thousands of transaction records and makes them semantically searchable. You stop guessing about campaign performance. When a user asks about last week's payout volume, the RAG pipeline pulls the exact numerical data instead of hallucinating an answer.

Ground agent decisions in real campaign details

The `get_campaign_details` tool fetches the exact rules, budgets, and parameters of your active incentive programs. Your FunctionAgent queries this data before deciding how to interact with a user. If a campaign requires a specific action, the agent knows immediately. It reads the live configuration from `list_reward_campaigns` and adjusts its conversational flow to match the current business logic.

Execute payouts based on indexed knowledge

The `send_reward` tool dispatches a micro-payment the moment your LlamaIndex application verifies a user's claim against the internal knowledge base. You pass the recipient data as a JSON string directly to the API. Before firing the transaction, the agent can verify funds using `get_wallet_balance`. You build a closed-loop system where the AI reads internal documents, confirms the user's work, and pays them instantly.

Setup guide

Set up FynCom 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 FynCom 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 FynCom tools.",
)
response = await agent.run("List recent FynCom 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 FynCom. 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 FynCom MCP in LlamaIndex

Install `llama-index-tools-mcp` and set up a `BasicMCPClient`. Wrap it with `McpToolSpec` and call `to_tool_list_async()` to pass the FynCom endpoints to your agent.

Your agent calls `list_reward_history` to pull the raw logs. It then indexes those records so you can ask natural language questions about your payout volume.

The agent runs `list_reward_campaigns` to find active programs. It can then run `get_campaign_details` to pull the specific budget rules into its working memory.

You can use the allowed tools filter when configuring the MCP client. This lets you expose `get_wallet_balance` for reporting while blocking `send_reward` to prevent accidental payouts.

The tools process JSON payloads containing recipient emails and payout amounts. The Vinkius zero-trust execution environment ensures that the tool endpoints only execute the exact parameters passed by your index query, leaving no persistent footprint on the host machine once the transaction clears.

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