How to Use the Effiliation MCP in LlamaIndex
Index your affiliate performance and transaction history into LlamaIndex for grounded, data-driven AI insights.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Effiliation MCP to LlamaIndex
Create your Vinkius account to connect Effiliation 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 Effiliation metrics in LlamaIndex
Convert your account stats into a searchable knowledge base using `get_performance_statistics`. You no longer guess how a campaign is doing; your agent retrieves the exact numbers. LlamaIndex turns these results into vector embeddings. You can query your own affiliate history to understand long-term trends and commission patterns.
Searchable conversion records
Pipe the output of `list_latest_conversions` directly into your LlamaIndex pipeline. This creates a semantic index of your recent sales activity. Ask your agent about specific affiliate performance, and it pulls from the indexed data. It provides answers grounded in actual API results.
Unified affiliate knowledge access
Use `get_program_details` to build a comprehensive index of your affiliate agreements. You can ask complex questions about commission structures across your entire network. This MCP server allows your agent to fetch details on demand. LlamaIndex then makes that information available for your RAG applications.
Set up Effiliation 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 Effiliation 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 Effiliation tools.",
)
response = await agent.run("List recent Effiliation data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Effiliation. 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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Common questions about Effiliation MCP in LlamaIndex
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Effiliation MCP today
We host it, we monitor it, we maintain it. You just paste one token.