Mailshake MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Add Prospects, Get Campaign Details, Get Team Details, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Mailshake 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 Mailshake app connector for LlamaIndex is a standout in the Sales Automation category — giving your AI agent 12 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 Mailshake. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Mailshake?"
)
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 Mailshake MCP Server
Connect your Mailshake account to any AI agent and manage sales outreach through natural conversation.
LlamaIndex agents combine Mailshake tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Campaign Management — Create and manage outreach campaigns
- Lead Tracking — Browse leads with engagement status and activity
- Sequence Management — Configure multi-step email sequences
- Reply Monitoring — Track replies, opens, and click activity
- Team Performance — Monitor team outreach metrics and quotas
- Lead Lists — Import and manage prospect lists
The Mailshake MCP Server exposes 12 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 12 Mailshake tools available for LlamaIndex
When LlamaIndex connects to Mailshake through Vinkius, your AI agent gets direct access to every tool listed below — spanning cold-outreach, email-sequences, lead-tracking, 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.
Add new prospects
Get campaign info
Get account team
Get profile info
List recipients
List cold email campaigns
Get open/click activity
List qualified leads
Stop campaign sending
Stop outreach for user
Resume campaign sending
g., Reply, Won, Lost, Ignored). Set lead stage
Connect Mailshake to LlamaIndex via MCP
Follow these steps to wire Mailshake 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 Mailshake MCP Server
LlamaIndex provides unique advantages when paired with Mailshake through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Mailshake tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Mailshake tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Mailshake, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Mailshake tools were called, what data was returned, and how it influenced the final answer
Mailshake + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Mailshake MCP Server delivers measurable value.
Hybrid search: combine Mailshake real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Mailshake 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 Mailshake for fresh data
Analytical workflows: chain Mailshake queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Mailshake in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Mailshake immediately.
"Show all campaigns and reply rates."
"Show leads from Q2 Outbound and their engagement."
"Show team performance and daily sending quotas."
Troubleshooting Mailshake MCP Server with LlamaIndex
Common issues when connecting Mailshake to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMailshake + LlamaIndex FAQ
Common questions about integrating Mailshake MCP Server with LlamaIndex.