How to Use the Amplemarket MCP in LlamaIndex

Q: How do I load Amplemarket tools into LlamaIndex?

Install llama-index-tools-mcp and set up a BasicMCPClient. Call mcptoolspec.totoollistasync() to inject the tools into your query engine or agent.

Q: Can LlamaIndex search through my Amplemarket contacts?

Yes. You run a data loader script that calls listcontacts and chunks the output into nodes. Those nodes go straight into your vector store for semantic search.

Q: How do I filter which Amplemarket tools my agent can use?

Use the allowedtools filter when configuring your tool spec. You might restrict a basic query engine to just getcontact while hiding broader list commands.

Turn your Amplemarket pipeline into a searchable knowledge base using LlamaIndex and our managed MCP Server integration.

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Connect Amplemarket MCP to LlamaIndex

Create your Vinkius account to connect Amplemarket 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.

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Setup Amplemarket with LlamaIndex

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Index Amplemarket contacts for RAG

LlamaIndex lets you treat live API data like static documents. Connect the server and let your application run `list_contacts` to build a vector index of your entire prospect base. You query the index instead of hitting the API repeatedly. This changes how you build sales applications. When a rep asks about recent leads, the query engine searches the indexed data. It grounds the response in actual CRM records rather than guessing from outdated training weights.

Ground answers with `enrich_company`

Sometimes a user query requires fresh context. Give your LlamaIndex `FunctionAgent` access to `enrich_company` and `enrich_person`. If the vector store lacks details on a specific target, the agent fetches it on the fly. The retrieved firmographic data merges with your existing documents. Your AI client reads the fresh API response alongside your internal sales playbooks to generate highly specific outreach strategies.

Query active sequences via MCP Server

Sales reps need to know what campaigns are running before reaching out. Your RAG app calls `list_sequences` to pull current campaign structures. It combines this with `list_exclusions` to answer complex questions about who currently receives emails. Setup takes minutes with `llama-index-tools-mcp`. You initialize a `BasicMCPClient` pointing to Vinkius, convert the specs, and pass them to your agent. All authentication stays handled through a single endpoint token.

Setup guide

Set up Amplemarket MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to 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 Amplemarket MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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 Amplemarket tools.",
)
response = await agent.run("List recent Amplemarket data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Amplemarket. 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.

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Common questions about Amplemarket MCP in LlamaIndex

Install `llama-index-tools-mcp` and set up a `BasicMCPClient`. Call `mcp_tool_spec.to_tool_list_async()` to inject the tools into your query engine or agent.

Yes. You run a data loader script that calls `list_contacts` and chunks the output into nodes. Those nodes go straight into your vector store for semantic search.

It does exactly that. If you ask about a specific prospect, the agent triggers `enrich_person` to fetch real-time data before generating the final answer.

Use the `allowed_tools` filter when configuring your tool spec. You might restrict a basic query engine to just `get_contact` while hiding broader list commands.

Campaign structures and messaging templates remain strictly confidential. The server operates inside a stateless sandbox, meaning your proprietary sales copy never touches persistent storage on our end.

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