FirstPromoter MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add FirstPromoter 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 MCP SERVER
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 FirstPromoter. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in FirstPromoter?"
)
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 FirstPromoter MCP Server
Connect your FirstPromoter account to any AI agent and automate your affiliate and referral marketing operations through the Model Context Protocol (MCP). FirstPromoter is the all-in-one platform for SaaS companies to launch and manage affiliate, referral, and influencer programs. Now, you can manage your promoters and track conversions directly through natural conversation.
LlamaIndex agents combine FirstPromoter tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Promoter Management — List all affiliates, fetch detailed performance metrics, and create new promoter profiles instantly.
- Referral Tracking — Monitor incoming leads and conversions to see which promoters are driving the most value.
- Reward Processing — List all rewards and commissions, and manually create new rewards for specific promoters.
- Campaign Insights — Access all your affiliate campaigns and fetch aggregate performance reports to optimize your strategy.
- Performance Reporting — Retrieve detailed reports for promoters and campaigns, including revenue and conversion data.
- Payout Statistics — Get a high-level overview of your payout statuses, including total paid and pending amounts.
- Real-time Monitoring — Fetch specific lead or conversion details to keep your marketing and finance teams aligned.
The FirstPromoter MCP Server exposes 12 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 FirstPromoter to LlamaIndex via MCP
Follow these steps to integrate the FirstPromoter 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 12 tools from FirstPromoter
Why Use LlamaIndex with the FirstPromoter MCP Server
LlamaIndex provides unique advantages when paired with FirstPromoter through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine FirstPromoter tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain FirstPromoter tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query FirstPromoter, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what FirstPromoter tools were called, what data was returned, and how it influenced the final answer
FirstPromoter + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the FirstPromoter MCP Server delivers measurable value.
Hybrid search: combine FirstPromoter real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query FirstPromoter 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 FirstPromoter for fresh data
Analytical workflows: chain FirstPromoter queries with LlamaIndex's data connectors to build multi-source analytical reports
FirstPromoter MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect FirstPromoter to LlamaIndex via MCP:
create_promoter
Create a new promoter
create_reward
Create a new reward
get_campaign_report
Get campaign performance report
get_lead
Get lead details
get_payout_stats
Get payout statistics
get_promoter
Get promoter details
get_promoter_report
Get promoter performance report
list_campaigns
List affiliate campaigns
list_conversions
List all conversions
list_leads
List all leads
list_promoters
List all promoters
list_rewards
List rewards
Example Prompts for FirstPromoter in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with FirstPromoter immediately.
"List my top 10 promoters by revenue."
"Show me the payout stats for this month."
"Create a new reward of $50.00 for promoter ID 'prom_456'."
Troubleshooting FirstPromoter MCP Server with LlamaIndex
Common issues when connecting FirstPromoter to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFirstPromoter + LlamaIndex FAQ
Common questions about integrating FirstPromoter 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 FirstPromoter 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 FirstPromoter to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
