How to Use the Mailsoftly MCP in LlamaIndex
Index your Mailsoftly campaign performance directly into LlamaIndex.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mailsoftly MCP to LlamaIndex
Create your Vinkius account to connect Mailsoftly 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.
Index Campaign History
Getting past performance data requires `list_sent_history` and `get_campaign_click_data`. Your LlamaIndex application pulls these metrics to build a searchable knowledge base of marketing results. Instead of guessing what worked last quarter, you query the index. The agent retrieves actual API data and grounds its answers in real click rates rather than hallucinated numbers.
Map Audiences in LlamaIndex
Mapping your audience requires raw contact structures. The `list_subscriber_collections` tool pulls your exact list definitions straight from the database. You combine this live API data with internal strategy documents. Your RAG setup now understands exactly who receives which message and why.
Stage Database Updates
Creating records uses `create_base_contact` and `add_contact_to_list`. The MCP Server executes these writes while updating your local context so the index stays fresh. When you ask the system to prepare a new send, it checks the index first. Then it stages the blast using `get_campaign_details` to verify the content.
Set up Mailsoftly MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 Mailsoftly MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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 Mailsoftly tools.",
)
response = await agent.run("List recent Mailsoftly data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mailsoftly. 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 Mailsoftly MCP in LlamaIndex
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