How to Use the FirstPromoter MCP in LlamaIndex
Ground your LlamaIndex knowledge base in live affiliate data by indexing FirstPromoter API output for semantic search.
Works with every AI agent you already use
…and any MCP-compatible client
Connect FirstPromoter MCP to LlamaIndex
Create your Vinkius account to connect FirstPromoter 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.
Index FirstPromoter data for LlamaIndex
Turn your affiliate conversion history into searchable knowledge by indexing results from `list_conversions`. LlamaIndex stores these records so your agent can query past performance with natural language. Stop digging through dashboards. Ask your agent about specific referral trends and get answers based on your actual account data.
Query campaigns using LlamaIndex agents
Use `list_campaigns` to pull current program settings into your vector store. Your agent understands the context of your active offers and can provide insights based on historical engagement. This creates a bridge between your static documentation and live account state. Your RAG system stays current without manual updates.
Retrieve lead details with LlamaIndex
Pull specific records using `get_lead` and insert them into your knowledge graph. LlamaIndex allows your agent to synthesize this data alongside your other company documents. It makes your agent smarter by providing immediate access to granular lead info. You get a unified view of your affiliate funnel.
Set up FirstPromoter MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 FirstPromoter MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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 FirstPromoter tools.",
)
response = await agent.run("List recent FirstPromoter data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FirstPromoter. 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.
Why Choose Vinkius
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Real-time monitoring
Live
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
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place for every integration
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Common questions about FirstPromoter MCP in LlamaIndex
Use it with your favorite AI tools
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