Inbox (useinbox.com) MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Inbox (useinbox.com) 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 Inbox (useinbox.com). "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Inbox (useinbox.com)?"
)
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 Inbox (useinbox.com) MCP Server
Empower your AI agents to manage your email marketing with UseINBOX. This MCP server allows you to list and retrieve campaigns, manage contact lists and subscribers, view newsletters, and track campaign reports directly through the UseINBOX API. Ideal for automating marketing operations and audience engagement.
LlamaIndex agents combine Inbox (useinbox.com) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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.
The Inbox (useinbox.com) MCP Server exposes 10 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 Inbox (useinbox.com) to LlamaIndex via MCP
Follow these steps to integrate the Inbox (useinbox.com) 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 10 tools from Inbox (useinbox.com)
Why Use LlamaIndex with the Inbox (useinbox.com) MCP Server
LlamaIndex provides unique advantages when paired with Inbox (useinbox.com) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Inbox (useinbox.com) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Inbox (useinbox.com) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Inbox (useinbox.com), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Inbox (useinbox.com) tools were called, what data was returned, and how it influenced the final answer
Inbox (useinbox.com) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Inbox (useinbox.com) MCP Server delivers measurable value.
Hybrid search: combine Inbox (useinbox.com) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Inbox (useinbox.com) 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 Inbox (useinbox.com) for fresh data
Analytical workflows: chain Inbox (useinbox.com) queries with LlamaIndex's data connectors to build multi-source analytical reports
Inbox (useinbox.com) MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Inbox (useinbox.com) to LlamaIndex via MCP:
get_account
Gets your UseINBOX account details
get_campaign_report
Retrieves the performance report for a specific campaign
list_automations
Lists all marketing automations
list_campaigns
Lists all email campaigns
list_contact_lists
Lists all contact lists
list_contacts
Lists contacts within a specific list
list_newsletters
Lists all newsletters
list_senders
Lists all authorized email senders
list_templates
Lists all email templates
list_webhooks
Lists all configured webhooks
Example Prompts for Inbox (useinbox.com) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Inbox (useinbox.com) immediately.
"List all my email campaigns in UseINBOX."
"Show me the contacts in my 'VIP Customers' list."
"Get the latest report for campaign ID '456'."
Troubleshooting Inbox (useinbox.com) MCP Server with LlamaIndex
Common issues when connecting Inbox (useinbox.com) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpInbox (useinbox.com) + LlamaIndex FAQ
Common questions about integrating Inbox (useinbox.com) 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 Inbox (useinbox.com) 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 Inbox (useinbox.com) to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.