Awin MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Awin as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Awin. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Awin?"
)
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 Awin MCP Server
Orchestrate your affiliate marketing performance with Awin, the world's leading affiliate network. By connecting Awin to your AI agent, you transform complex data retrieval and program management into a natural conversation. Your agent can instantly audit transaction history, list joined advertiser programmes, retrieve real-time performance reports, and even generate tracked affiliate links without you ever touching a dashboard. Whether you're a publisher optimizing revenue or an advertiser monitoring relationships, your agent acts as a direct bridge to your Awin account, ensuring your marketing efforts are always data-driven and efficient.
LlamaIndex agents combine Awin tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- Account Oversight — List all publisher and advertiser accounts you have access to across the Awin network.
- Programme Management — Explore joined or available advertiser programmes, auditing relationship statuses and requirements.
- Transaction Auditing — Retrieve detailed lists of individual transactions, complete with metadata, status, and conversion values.
- Performance Reporting — Access aggregated performance reports to analyze revenue and conversion trends over specific timeframes.
- Link Generation — Instantly generate tracking links for destination URLs to ensure your affiliate traffic is correctly attributed.
The Awin MCP Server exposes 10 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 Awin to LlamaIndex via MCP
Follow these steps to integrate the Awin 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 10 tools from Awin
Why Use LlamaIndex with the Awin MCP Server
LlamaIndex provides unique advantages when paired with Awin through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Awin tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Awin tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Awin, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Awin tools were called, what data was returned, and how it influenced the final answer
Awin + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Awin MCP Server delivers measurable value.
Hybrid search: combine Awin real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Awin 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 Awin for fresh data
Analytical workflows: chain Awin queries with LlamaIndex's data connectors to build multi-source analytical reports
Awin MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Awin to LlamaIndex via MCP:
generate_tracking_link
Generate an Awin tracking link for a destination URL
get_account_check
Verify Awin connection and list available accounts
get_aggregated_report
Get aggregated performance reports
list_accounts
List all accounts (publisher/advertiser) you have access to
list_available_programmes
Helper to list only available programmes to join
list_joined_programmes
Helper to list only joined programmes
list_programmes
List joined or available advertiser programmes for a publisher
list_promotions
Retrieve details of promotions and voucher codes for a publisher
list_publishers
List all publishers with an active relationship (for advertisers)
list_transactions
List individual transactions for a publisher (max 31 days)
Example Prompts for Awin in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Awin immediately.
"List all advertiser programmes I have joined on Awin for Publisher ID 12345."
"Generate an Awin tracking link for https://example.com/product using Publisher 12345 and Advertiser 6789."
"Show my aggregated performance report for the last 7 days in UTC."
Troubleshooting Awin MCP Server with LlamaIndex
Common issues when connecting Awin to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAwin + LlamaIndex FAQ
Common questions about integrating Awin 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 Awin 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 Awin to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.