Mailsac MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Mailsac as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 Mailsac. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Mailsac?"
)
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 Mailsac MCP Server
Connect your Mailsac account to any AI agent to automate your email testing and inbox management. This MCP server enables your agent to reserve private email addresses, retrieve and search for messages, and inspect HTML or plain text bodies directly from natural language interfaces.
LlamaIndex agents combine Mailsac tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- Inbox Oversight — List and manage your reserved (enhanced) addresses and custom domains
- Instant Retrieval — Fetch a list of messages received by any address in your account instantly
- Content Extraction — Retrieve sanitized HTML or raw plain text bodies to extract verification codes or links
- Inbox Maintenance — Permanently delete individual messages or clear entire inboxes via simple commands
- Infrastructure Management — Reserve new private addresses programmatically for isolated testing flows
- Global Search — Query messages across all your addresses using advanced search parameters (requires paid tier)
The Mailsac MCP Server exposes 9 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.
How to Connect Mailsac to LlamaIndex via MCP
Follow these steps to integrate the Mailsac MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 9 tools from Mailsac
Why Use LlamaIndex with the Mailsac MCP Server
LlamaIndex provides unique advantages when paired with Mailsac through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Mailsac tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Mailsac tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Mailsac, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Mailsac tools were called, what data was returned, and how it influenced the final answer
Mailsac + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Mailsac MCP Server delivers measurable value.
Hybrid search: combine Mailsac real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Mailsac 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 Mailsac for fresh data
Analytical workflows: chain Mailsac queries with LlamaIndex's data connectors to build multi-source analytical reports
Mailsac MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Mailsac to LlamaIndex via MCP:
delete_inbox_message
Permanently remove a message from an inbox
get_html_message_body
Get the sanitized HTML body of a specific message
get_plain_text_body
Get the plain text body of a specific message
list_custom_domains
List custom domains linked to the account
list_inbox_messages
List messages in a specific inbox
list_reserved_addresses
List all reserved (enhanced) email addresses
release_reserved_address
Delete/Release a reserved email address
reserve_new_address
Reserve a specific email address
search_account_messages
Requires a paid Mailsac tier. Use query params like to, from, subject. Search for messages across all addresses
Example Prompts for Mailsac in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Mailsac immediately.
"List all my reserved email addresses in Mailsac."
"Fetch the plain text content of the last email sent to 'test-user@mailsac.com'."
"Reserve a new private address 'automation-flow@mailsac.com'."
Troubleshooting Mailsac MCP Server with LlamaIndex
Common issues when connecting Mailsac to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMailsac + LlamaIndex FAQ
Common questions about integrating Mailsac MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Mailsac with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Mailsac to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.