Cordial 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 Cordial 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 MCP SERVER
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 Cordial. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Cordial?"
)
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 Cordial MCP Server
Integrate Cordial, the cross-channel marketing platform, directly into your AI workflow. Manage your audience segments, trigger automated messages, and monitor campaign performance using natural language.
LlamaIndex agents combine Cordial 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.
What you can do
- Audience Management — List and search for subscribers, and update profile attributes seamlessly.
- Campaign Monitoring — Track the performance of batch and transactional email/SMS campaigns.
- Automation Control — Monitor and manage active message automation workflows.
- Data Insights — Access supplementary data collections and account metadata via chat.
The Cordial 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 Cordial to LlamaIndex via MCP
Follow these steps to integrate the Cordial 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 Cordial
Why Use LlamaIndex with the Cordial MCP Server
LlamaIndex provides unique advantages when paired with Cordial through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Cordial tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Cordial tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Cordial, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Cordial tools were called, what data was returned, and how it influenced the final answer
Cordial + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Cordial MCP Server delivers measurable value.
Hybrid search: combine Cordial real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Cordial 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 Cordial for fresh data
Analytical workflows: chain Cordial queries with LlamaIndex's data connectors to build multi-source analytical reports
Cordial MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Cordial to LlamaIndex via MCP:
get_account_details
Resolves system-level account identifiers, plan configuration, and core platform settings. Get metadata about your Cordial account
get_subscriber_profile
Resolves granular profile data including custom attributes, device tokens, and list memberships. Get full profile and attributes for a subscriber
list_audience_segments
Resolves list identity properties such as segment IDs, names, and subscriber counts. List contact segments and audience groups
list_automation_messages
Resolves active automated message definitions and workflow status for triggered communications. List active automated message workflows
list_contacts
Resolves contact identity properties including email addresses, channel opt-ins, and attribute metadata across the Cordial system boundary. List subscribers in Cordial
list_marketing_campaigns
Resolves campaign identity and status, including scheduling data and high-level performance indicators. List marketing campaigns and their performance
list_messages
Resolves batch and transactional message definitions, including templates, subject lines, and sender profiles. List batch and transactional messages
list_supplementary_data
Resolves metadata for custom data collections used for message personalization. List supplement collections (external data tables)
search_campaigns_by_name
Resolves a subset of campaigns matching the name criteria across the platform boundary. Search for marketing campaigns by name
upsert_subscriber
Creates or updates a profile with identity properties, channel preferences, and custom attributes. Create or update a subscriber profile
Example Prompts for Cordial in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Cordial immediately.
"List the most recent marketing campaigns and their open rates."
"Show me the profile for the subscriber 'user@example.com'."
"Check the size of our 'Active Customers' list."
Troubleshooting Cordial MCP Server with LlamaIndex
Common issues when connecting Cordial to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCordial + LlamaIndex FAQ
Common questions about integrating Cordial 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 Cordial 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 Cordial to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.