Clickatell 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 Clickatell 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 Clickatell. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Clickatell?"
)
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 Clickatell MCP Server
Connect your Clickatell account to any AI agent and take full control of your global mobile messaging workflows through natural conversation.
LlamaIndex agents combine Clickatell 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
- SMS Dispatch — Send single or bulk SMS messages natively with support for E.164 formatting and Unicode payloads
- Delivery Tracking — Perform structural extraction of properties driving final carrier statuses to confirm your messages reached cellular towers
- Account Management — Monitor your available API balance and check international network coverage for specific numbers
- Campaign Monitoring — List scheduled text blasts and audit delivery timings strictly within Clickatell limits
- Inbound Reply Rules — Create and manage keyword-based reply rules and webhooks to automate two-way messaging flows
The Clickatell 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 Clickatell to LlamaIndex via MCP
Follow these steps to integrate the Clickatell 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 Clickatell
Why Use LlamaIndex with the Clickatell MCP Server
LlamaIndex provides unique advantages when paired with Clickatell through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Clickatell tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Clickatell tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Clickatell, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Clickatell tools were called, what data was returned, and how it influenced the final answer
Clickatell + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Clickatell MCP Server delivers measurable value.
Hybrid search: combine Clickatell real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Clickatell 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 Clickatell for fresh data
Analytical workflows: chain Clickatell queries with LlamaIndex's data connectors to build multi-source analytical reports
Clickatell MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Clickatell to LlamaIndex via MCP:
cancel_queued_message
Irreversibly vaporize explicit SMS blocks deleting scheduled drops
dispatch_bulk_sms
164 boundaries optimizing Clickatell pipeline bandwidth directly avoiding API lag. Identify bounded routing spaces bridging concurrent SMS arrays
dispatch_sms_message
164 natively. Provision a massively scalable JSON Payload rendering outbound SMS natively over Clickatell
get_account_balance
Retrieve explicit Cloud metrics tracing active Funding Limits
get_delivery_status
Perform structural extraction of properties driving final Carrier statuses
list_inbound_rules
Enumerate explicitly attached structured rules traversing MO bounds
list_scheduled_campaigns
Identify precise active arrays spanning Marketing boundaries
test_carrier_coverage
Dispatch an automated validation check routing MSISDN routes
upsert_inbound_rule
Bootstrap an entirely empty structural parsing block allocating Webhooks
wipe_inbound_rule
Obliterate mapped HTTP Logic bounds avoiding legacy routing
Example Prompts for Clickatell in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Clickatell immediately.
"Send SMS to +1234567890: 'Your order #987 is ready for pickup!'"
"What is my current Clickatell account balance?"
"Check delivery status for message ID msg_789"
Troubleshooting Clickatell MCP Server with LlamaIndex
Common issues when connecting Clickatell to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpClickatell + LlamaIndex FAQ
Common questions about integrating Clickatell 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 Clickatell 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 Clickatell to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.