How to Use the Elastic Email MCP in LlamaIndex

Q: How does LlamaIndex handle Elastic Email contact lookups?

The agent executes searchcontactsbyemail, retrieves the profile, and synthesizes the JSON response into a human-readable summary based on your prompt.

Q: Can I restrict which tools the agent indexes?

Pass an allowedtools filter when setting up the tool spec. This prevents the agent from pulling unnecessary metadata or hitting endpoints you want to keep isolated.

Index your Elastic Email campaign data into vector stores using LlamaIndex RAG applications.

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Connect Elastic Email MCP to LlamaIndex

Create your Vinkius account to connect Elastic Email 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 Elastic Email with LlamaIndex

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Query Elastic Email MCP Server Data

LlamaIndex pulls raw metrics from `list_marketing_campaigns` and `get_campaign_performance` to build a searchable knowledge base of your marketing history. Instead of building dashboards, you ask your agent why the summer promo underperformed. The framework embeds the API responses directly into your vector store. Your queries hit actual historical data, meaning the agent grounds its answers in real open rates rather than guessing.

Semantic Search for Delivery Failures

You run `list_delivery_logs` through a FunctionAgent to identify patterns in hard bounces across different ISPs. The agent ingests the error codes and maps them against known deliverability issues in your indexed documentation. This setup turns raw logs into a diagnostic tool. When you ask about Gmail rejections, the agent cross-references the server output with your internal runbooks.

Index Contact Profiles and Templates

RAG pipelines ingest `list_email_designs` and `list_contact_address_lists` to help your team find specific assets fast. If a marketer needs the ID for the onboarding template, the agent grabs it from the index instantly. You just set include_resources=True in your McpToolSpec. The client handles the async conversion and makes the entire template library queryable in seconds.

Setup guide

Set up Elastic Email 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 Elastic Email 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 Elastic Email tools.",
)
response = await agent.run("List recent Elastic Email 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 Elastic Email. 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 Elastic Email MCP in LlamaIndex

Install llama-index-tools-mcp and initialize a BasicMCPClient. Wrap it in McpToolSpec and call to_tool_list_async() to feed the tools to your agent.

Yes. You pull the raw data using the logs tool and embed it into your vector store. From there, you can run natural language queries against specific bounce events.

The agent executes search_contacts_by_email, retrieves the profile, and synthesizes the JSON response into a human-readable summary based on your prompt.

Pass an allowed_tools filter when setting up the tool spec. This prevents the agent from pulling unnecessary metadata or hitting endpoints you want to keep isolated.

The Vinkius infrastructure relies on a zero-trust execution model. Marketing contacts and campaign IDs travel through a single authenticated endpoint and never touch persistent storage on our end.

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