ClickSend MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ClickSend 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 ClickSend. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in ClickSend?"
)
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 ClickSend MCP Server
Connect your ClickSend account to any AI agent and take full control of your multi-channel messaging through natural conversation. Streamline how you communicate with customers via SMS, Voice, and even Physical Post natively.
LlamaIndex agents combine ClickSend tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- SMS Delivery — Send single or batch SMS messages to recipients globally in E.164 format natively
- History Intelligence — Access detailed outbound and inbound SMS history to audit conversations flawlessly
- Campaign Management — List and review scheduled SMS marketing campaigns and their current states securely
- Voice & Post Logistics — Retrieve history for automated voice calls and physical letters sent via ClickSend flawlessly
- Contact Management — List and monitor contacts stored in your account to manage your audience securely
- Account Visibility — Retrieve core account details, including credit balance, directly within your workspace flawlessly
The ClickSend MCP Server exposes 8 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 ClickSend to LlamaIndex via MCP
Follow these steps to integrate the ClickSend 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 8 tools from ClickSend
Why Use LlamaIndex with the ClickSend MCP Server
LlamaIndex provides unique advantages when paired with ClickSend through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ClickSend tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ClickSend tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ClickSend, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ClickSend tools were called, what data was returned, and how it influenced the final answer
ClickSend + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ClickSend MCP Server delivers measurable value.
Hybrid search: combine ClickSend real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ClickSend 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 ClickSend for fresh data
Analytical workflows: chain ClickSend queries with LlamaIndex's data connectors to build multi-source analytical reports
ClickSend MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect ClickSend to LlamaIndex via MCP:
get_clicksend_account_info
Retrieve core account details and balance
get_physical_mail_history
Retrieve a history of physical letters sent via ClickSend Post
get_sms_outbound_history
Retrieve a history of sent SMS messages
get_voice_call_history
Retrieve a history of automated voice calls sent
list_clicksend_contacts
List all contacts stored in ClickSend
list_received_sms
List all inbound (received) SMS messages
list_sms_marketing_campaigns
List all scheduled and sent SMS marketing campaigns
send_clicksend_sms
Numbers should be in E.164 format. Send one or more SMS messages
Example Prompts for ClickSend in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with ClickSend immediately.
"Send a 'Welcome to Vinkius!' SMS to +1234567890."
"List all received SMS from today."
"What is my current ClickSend balance?"
Troubleshooting ClickSend MCP Server with LlamaIndex
Common issues when connecting ClickSend to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpClickSend + LlamaIndex FAQ
Common questions about integrating ClickSend 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 ClickSend 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 ClickSend to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
