How to Use the Clickatell MCP in LlamaIndex
Index live SMS delivery metrics and routing rules directly into your LlamaIndex vector store.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Clickatell MCP to LlamaIndex
Create your Vinkius account to connect Clickatell to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Build a searchable history of your SMS operations
This MCP Server allows your agent to feed live communication data from `get_delivery_status` directly into your search indexes. By querying delivery logs and indexing the output, your system builds an active, searchable history of carrier performance and delivery rates. Your RAG applications can then query past delivery logs to troubleshoot carrier issues. Instead of digging through raw API logs, your agent finds patterns by searching your indexed vector database.
Ground agent decisions in actual account metrics
Avoid hallucinations about your messaging limits by indexing live account parameters with `get_account_balance`. Your agent pulls real-time financial metrics, converting raw balance data into indexable documents. This means when you ask your agent if you have enough budget for a new campaign, it queries the index of your actual account limits. The agent grounds its answers in current data rather than outdated configuration files.
Query your active messaging rules with LlamaIndex
Keep your network configurations documented and searchable by pulling active routing pathways with `list_inbound_rules`. The agent extracts active routing pathways and webhooks, turning complex JSON rules into plain text embeddings. If you need to know which endpoints receive incoming SMS, you can ask your agent directly. It searches the index, identifies the rules, and can even modify them using `upsert_inbound_rule` if it detects a configuration gap.
Set up Clickatell MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Clickatell MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to Clickatell tools.",
)
response = await agent.run("List recent Clickatell data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Clickatell. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
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lower AI costs
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Common questions about Clickatell MCP in LlamaIndex
Use it with your favorite AI tools
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