Tingg Insights MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Check Api Health, Create Checkout Request, Get Account Performance Metrics, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Tingg Insights 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 App Connector for LlamaIndex
The Tingg Insights app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Tingg Insights. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Tingg Insights?"
)
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 Tingg Insights MCP Server
Connect your Tingg (Cellulant) payments account to any AI agent and simplify how you collect payments, manage disbursements, and track financial settlements across Africa through natural conversation.
LlamaIndex agents combine Tingg Insights tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Transaction Oversight — List and search all payment transactions and retrieve real-time status for specific checkout requests.
- Disbursement Control — Initiate and monitor payouts (B2C/B2B) to recipients across supported mobile money and bank channels.
- Settlement Tracking — List bank settlements to monitor when funds are moved from your Tingg account to your local bank.
- Payment Initiation — Programmatically create new checkout requests to collect payments via mobile money, card, or bank.
- Engagement Automation — Send transactional SMS or Email notifications to users via the Tingg Engage service.
- Performance Metrics — Retrieve high-level account metrics and payment success rates to monitor your business health.
The Tingg Insights MCP Server exposes 12 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.
All 12 Tingg Insights tools available for LlamaIndex
When LlamaIndex connects to Tingg Insights through Vinkius, your AI agent gets direct access to every tool listed below — spanning african-payments, payment-gateway, mobile-money, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify Tingg API connectivity
Initiate a new payment request
Retrieve performance stats
Check status of a payout
Check status of a specific transaction
Request a refund
Send money to a recipient
List bank settlements
List active webhooks
List all payouts/disbursements
List recent payment transactions
Send SMS or Email alert
Connect Tingg Insights to LlamaIndex via MCP
Follow these steps to wire Tingg Insights into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Tingg Insights MCP Server
LlamaIndex provides unique advantages when paired with Tingg Insights through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Tingg Insights tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Tingg Insights tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Tingg Insights, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Tingg Insights tools were called, what data was returned, and how it influenced the final answer
Tingg Insights + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Tingg Insights MCP Server delivers measurable value.
Hybrid search: combine Tingg Insights real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Tingg Insights 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 Tingg Insights for fresh data
Analytical workflows: chain Tingg Insights queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Tingg Insights in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Tingg Insights immediately.
"List the last 5 payment transactions in my Tingg account."
"Show me my account performance metrics."
"Check the status of payout 'payout_10293'."
Troubleshooting Tingg Insights MCP Server with LlamaIndex
Common issues when connecting Tingg Insights to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTingg Insights + LlamaIndex FAQ
Common questions about integrating Tingg Insights MCP Server with LlamaIndex.