How to Use the AB.GL MCP in LlamaIndex

Q: Can I query AB.GL performance from LlamaIndex?

You can, by indexing the output of getlinkstats. Your agent then answers questions about which links are driving the most traffic.

Index your AB.GL link data into LlamaIndex for RAG-based insights and queryable URL performance history.

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Connect AB.GL MCP to LlamaIndex

Create your Vinkius account to connect AB.GL 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.

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Setup AB.GL with LlamaIndex

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Ground your LlamaIndex answers in link data

Convert `list_links` outputs into vector embeddings for semantic search. You query your own link history to find specific campaigns by their descriptive content. Your RAG application pulls live data from the API to update the index. You get answers based on current click counts instead of stale cached records.

Searchable MCP Server link analytics

Pass `get_link_stats` outputs to your document store for deep analysis. You correlate link performance with your internal documentation inside the index. Your agents find patterns in click volume over time. You ask your index for the best performing domains and receive grounded, accurate data.

Automate link management via LlamaIndex

Use `create_short_link` to generate branded assets as part of your content pipeline. You store the resulting metadata in your knowledge base for future reference. Your system keeps track of all custom domains via `list_domains`. You ensure every new link follows your naming convention without manual checks.

Setup guide

Set up AB.GL MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to 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 AB.GL MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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 AB.GL tools.",
)
response = await agent.run("List recent AB.GL data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AB.GL. 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.

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Common questions about AB.GL MCP in LlamaIndex

It provides a live feed of your link data that your index ingests. You treat your URL history as a first-class knowledge source.

Yes, the tool spec maps every function to an async call. You filter the tool list to expose only the operations your agent requires.

You can, by indexing the output of `get_link_stats`. Your agent then answers questions about which links are driving the most traffic.

Pass your Vinkius-provided token during the client initialization. The SDK handles the authentication handshake for every tool request.

Your data stays isolated within the Vinkius ephemeral sandbox. No other index can access your unique link metadata or click history.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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