Impact.com 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 Impact.com 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 Impact.com. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Impact.com?"
)
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 Impact.com MCP Server
Empower your AI agents to manage your partnership ecosystem with Impact.com (formerly Impact Radius). This MCP server allows you to list campaigns, retrieve ad details, track actions and conversions, manage invoices, and view affiliate payouts directly through the Impact API. Ideal for automating partnership marketing and performance monitoring.
LlamaIndex agents combine Impact.com 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.
The Impact.com 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 Impact.com to LlamaIndex via MCP
Follow these steps to integrate the Impact.com 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 Impact.com
Why Use LlamaIndex with the Impact.com MCP Server
LlamaIndex provides unique advantages when paired with Impact.com through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Impact.com tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Impact.com tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Impact.com, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Impact.com tools were called, what data was returned, and how it influenced the final answer
Impact.com + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Impact.com MCP Server delivers measurable value.
Hybrid search: combine Impact.com real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Impact.com 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 Impact.com for fresh data
Analytical workflows: chain Impact.com queries with LlamaIndex's data connectors to build multi-source analytical reports
Impact.com MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Impact.com to LlamaIndex via MCP:
list_actions
Lists all actions (conversions, clicks)
list_ads
Lists all ads in your account
list_campaigns
Lists all partnership campaigns
list_contracts
Lists all partnership contracts
list_invoices
Lists all invoices
list_media_partners
Lists all media partners (affiliates)
list_payouts
Lists all payouts to partners
list_queued_notifications
Lists all queued action notifications
list_transactions
Lists all financial transactions
list_webhooks
Lists all configured webhooks
Example Prompts for Impact.com in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Impact.com immediately.
"List all active partnership campaigns in my Impact.com account."
"Show me recent conversions and actions from today."
"Check for any pending invoices or payouts."
Troubleshooting Impact.com MCP Server with LlamaIndex
Common issues when connecting Impact.com to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpImpact.com + LlamaIndex FAQ
Common questions about integrating Impact.com 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 Impact.com 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 Impact.com to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.