LeadDyno MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add LeadDyno 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 LeadDyno. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in LeadDyno?"
)
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 LeadDyno MCP Server
Combine LeadDyno affiliate logic with your everyday AI tools. Automatically monitor external influencers sharing your links, verify accurate commission ledgers, and list brand ambassadors globally.
LlamaIndex agents combine LeadDyno tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- Affiliate Management: Check individual partner links and status logs.
- Sales Pipelines: Search registered new commissions scaling inside LeadDyno.
- Visitor Metrics: Quantify engagement of links to verify brand partner impact.
The LeadDyno MCP Server exposes 9 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 LeadDyno to LlamaIndex via MCP
Follow these steps to integrate the LeadDyno 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 9 tools from LeadDyno
Why Use LlamaIndex with the LeadDyno MCP Server
LlamaIndex provides unique advantages when paired with LeadDyno through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine LeadDyno tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain LeadDyno tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query LeadDyno, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what LeadDyno tools were called, what data was returned, and how it influenced the final answer
LeadDyno + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the LeadDyno MCP Server delivers measurable value.
Hybrid search: combine LeadDyno real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query LeadDyno 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 LeadDyno for fresh data
Analytical workflows: chain LeadDyno queries with LlamaIndex's data connectors to build multi-source analytical reports
LeadDyno MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect LeadDyno to LlamaIndex via MCP:
create_affiliate
Create a new affiliate in LeadDyno
create_lead
Record a new lead in LeadDyno
create_purchase
Record a new purchase in LeadDyno
get_affiliate
Retrieve details for a specific affiliate
list_affiliates
Retrieve a list of affiliates from LeadDyno
list_commissions
Retrieve a list of commissions
list_leads
Retrieve a list of all tracked leads
list_purchases
Retrieve a list of all tracked purchases
list_visitors
Retrieve a list of website visitors
Example Prompts for LeadDyno in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with LeadDyno immediately.
"List overall active brand affiliates signed in the program."
"Retrieve the total daily generated commissions for this week."
"Which influencers brought in the most lead visitors today?"
Troubleshooting LeadDyno MCP Server with LlamaIndex
Common issues when connecting LeadDyno to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLeadDyno + LlamaIndex FAQ
Common questions about integrating LeadDyno 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 LeadDyno 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 LeadDyno to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.