How to Use the Mailshake MCP in LlamaIndex

Q: Can I use LlamaIndex to search through my Mailshake campaign history?

Yes, that's the core idea. You use tools like listcampaigns and getcampaigndetails to populate an index, then your LlamaIndex agent can perform semantic searches over that campaign data.

Q: How does LlamaIndex work with Mailshake to find unengaged prospects?

Your agent would call listengagementactivity and index the results. You can then ask it in plain English to find prospects from Mailshake with zero opens or clicks, and it will query the index for the answer.

Turn your Mailshake outreach data into a queryable knowledge base with LlamaIndex.

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Connect Mailshake MCP to LlamaIndex

Create your Vinkius account to connect Mailshake 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 Mailshake with LlamaIndex

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Build a RAG App on Your Sales Data

Use the Mailshake toolset to feed a LlamaIndex VectorStoreIndex. Tools like `list_campaigns` and `get_campaign_details` don't just return data; they populate an index your agent can query using natural language. This means you can ask questions like, 'Summarize my top three campaigns from last month,' and get an answer based on real, up-to-the-minute data from the Mailshake API, not a stale document.

Query Campaign Performance with LlamaIndex

The `list_engagement_activity` tool becomes your source for building a performance knowledge base. Your LlamaIndex agent can ingest open, click, and reply data for all your campaigns into a queryable index. Now you can ask complex questions. 'Which prospects in the Q4_Promo campaign haven't opened any emails?' The agent will query the indexed engagement data to find the answer instantly, grounded in actual results.

Intelligent Prospect and Lead Management

Index your leads and their statuses over time. With `list_sales_leads` and `update_lead_status`, your agent doesn't just act; it remembers. It knows the entire history of a lead's journey through your pipeline. This lets you build smarter agents. For instance, an agent could query the index to find all leads marked 'Ignored' for more than 30 days, then use `add_prospects` to add them to a new re-engagement campaign. This MCP server provides the live data source.

Setup guide

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

Yes, that's the core idea. You use tools like `list_campaigns` and `get_campaign_details` to populate an index, then your LlamaIndex agent can perform semantic searches over that campaign data.

Your agent would call `list_engagement_activity` and index the results. You can then ask it in plain English to find prospects from Mailshake with zero opens or clicks, and it will query the index for the answer.

Definitely. After querying its knowledge base to identify a lead, your agent can use the `update_lead_status` tool to change their stage in Mailshake, for example, from 'Contacted' to 'Lost'.

Yes. LlamaIndex is designed for this. You can direct the output from the Mailshake MCP tools into any LlamaIndex-compatible vector store, making your sales data accessible alongside your other documents.

Your campaign engagement data—like opens and clicks—is passed through our stateless server but is not stored by Vinkius. The connection is encrypted, and the isolated server instance that processes the `list_engagement_activity` call is destroyed after execution.

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