Clip API 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 Clip API 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 Clip API. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Clip API?"
)
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 Clip API MCP Server
Directly empower your intelligent agents with the Clip API, the undisputed champion of point-of-sale and card payment gateways across Mexico. Bypass clunky merchant dashboards by commanding 10 specialized financial tools built to execute transactions, force refunds, and reconcile bulk backend settlements securely through plain text.
LlamaIndex agents combine Clip API 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
- Payment Link Generation — Programmatically spin up highly secure payment links instantly firing off collection demands mapped directly to specific user workflows without manual UI clicks.
- Transaction Auditing — Track pending authorizations scanning exact balances sniffing out potential fraud drops analyzing transaction statuses aggressively.
- Automated Reconciliations — Pull bulk settlement reports extracting clean matrices charting precisely when cash pipelines hit your registered banks.
- Inventory & Subscription — Manage deep catalog arrays syncing SKUs and dictating heavy recurring billing cycles charging Mexican cards passively.
The Clip API 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 Clip API to LlamaIndex via MCP
Follow these steps to integrate the Clip API 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 Clip API
Why Use LlamaIndex with the Clip API MCP Server
LlamaIndex provides unique advantages when paired with Clip API through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Clip API tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Clip API tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Clip API, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Clip API tools were called, what data was returned, and how it influenced the final answer
Clip API + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Clip API MCP Server delivers measurable value.
Hybrid search: combine Clip API real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Clip API 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 Clip API for fresh data
Analytical workflows: chain Clip API queries with LlamaIndex's data connectors to build multi-source analytical reports
Clip API MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Clip API to LlamaIndex via MCP:
add_product_to_catalog
Add a new item to the Clip Point of Sale catalog
cancel_payment_link
Void an active payment link
create_payment_link
Generate a Clip payment link to charge customers via card
create_subscription_plan
Build a recurring billing cycle charging clients periodically
get_balance_summary
Retrieve cash balance awaiting settlement
get_settlement_reports
Fetch detailed historical settlement reports
get_transaction_status
Retrieve the status of a payment transaction
list_products_catalog
Pull the complete inventory catalog registered in Clip
list_terminals
List all registered physical POS Clip terminals
refund_transaction
Omit amount for full refund. Execute a full or partial refund for a settled transaction
Example Prompts for Clip API in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Clip API immediately.
"Generate a new custom MXN payment link exactly for 450.50 referenced as invoice #X-99T."
"Refund the latest transaction specifically identified as Txn_88Z to its origin card fully."
"Calculate my comprehensive real cash balance available anticipating the incoming bulk settlements today blindly."
Troubleshooting Clip API MCP Server with LlamaIndex
Common issues when connecting Clip API to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpClip API + LlamaIndex FAQ
Common questions about integrating Clip API 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 Clip API 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 Clip API to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.