Amplemarket MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Enrich Company, Enrich Person, Get Contact, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Amplemarket 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 App Connector for LlamaIndex
The Amplemarket app connector for LlamaIndex is a standout in the Sales Automation category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Amplemarket. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in Amplemarket?"
)
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 Amplemarket MCP Server
Connect your Amplemarket account to any AI agent and take full control of your outbound sales engagement and high-fidelity lead enrichment workflows through natural conversation.
LlamaIndex agents combine Amplemarket tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- Lead & Company Enrichment — Programmatically retrieve verified email addresses and deep firmographic data for any B2B contact or company domain in real-time
- Outbound Sequence Intelligence — Monitor the status and performance of your active sales sequences and retrieve high-fidelity campaign metrics directly through your agent
- CRM Discovery — Access complete directories of your saved sales contacts and retrieve granular profile metadata to coordinate your outreach strategy perfectly
- Deliverability Oversight — Access and monitor your exclusion lists and opt-out directories to maintain high-fidelity email health and sender reputation
- Infrastructure Monitoring — Verify API connectivity and retrieve account-level metadata directly through your agent for instant operational reporting
The Amplemarket MCP Server exposes 6 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.
All 6 Amplemarket tools available for LlamaIndex
When LlamaIndex connects to Amplemarket through Vinkius, your AI agent gets direct access to every tool listed below — spanning b2b-prospecting, lead-enrichment, outbound-sales, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Enrich a company
Enrich a person
Get contact details
List all contacts
List excluded emails
List active sequences
Connect Amplemarket to LlamaIndex via MCP
Follow these steps to wire Amplemarket into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Amplemarket MCP Server
LlamaIndex provides unique advantages when paired with Amplemarket through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Amplemarket tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Amplemarket tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Amplemarket, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Amplemarket tools were called, what data was returned, and how it influenced the final answer
Amplemarket + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Amplemarket MCP Server delivers measurable value.
Hybrid search: combine Amplemarket real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Amplemarket 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 Amplemarket for fresh data
Analytical workflows: chain Amplemarket queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Amplemarket in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Amplemarket immediately.
"Enrich the B2B contact info for 'jane.smith@example.com'."
"List all active outbound sequences and their engagement rates."
"Check if 'competitor.com' is on my exclusion list."
Troubleshooting Amplemarket MCP Server with LlamaIndex
Common issues when connecting Amplemarket to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAmplemarket + LlamaIndex FAQ
Common questions about integrating Amplemarket MCP Server with LlamaIndex.