AB.GL MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Check Abgl Status, Create Short Link, Delete Link, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AB.GL 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 AB.GL app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 10 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 AB.GL. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in AB.GL?"
)
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 AB.GL MCP Server
Connect your AB.GL account to any AI agent and manage your entire link shortening and analytics workflow through natural conversation.
LlamaIndex agents combine AB.GL 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
- Create Short Links — Shorten any URL with an optional custom alias for branded campaigns
- Link Management — List, inspect, update, and delete shortened URLs from your account
- Click Analytics — View detailed click statistics including referrers, devices, and geographic data for any link
- Bio Link Pages — List and inspect bio link pages with blocks and appearance settings
- Custom Domains — View all custom domains configured for your short links
- Account Monitoring — Verify API connectivity and account status
The AB.GL 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.
All 10 AB.GL tools available for LlamaIndex
When LlamaIndex connects to AB.GL through Vinkius, your AI agent gets direct access to every tool listed below — spanning url-shortener, link-management, click-tracking, 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 API connectivity
gl. Create a short link
Delete a short link
Get bio page details
Get link details
Get link analytics
List bio pages
gl short links. List custom domains
gl account with click counts and creation dates. List all short links
Update a short link
Connect AB.GL to LlamaIndex via MCP
Follow these steps to wire AB.GL 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 AB.GL MCP Server
LlamaIndex provides unique advantages when paired with AB.GL through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine AB.GL tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain AB.GL tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query AB.GL, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what AB.GL tools were called, what data was returned, and how it influenced the final answer
AB.GL + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the AB.GL MCP Server delivers measurable value.
Hybrid search: combine AB.GL real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query AB.GL 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 AB.GL for fresh data
Analytical workflows: chain AB.GL queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for AB.GL in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with AB.GL immediately.
"Shorten https://example.com/long-campaign-url with alias 'q4sale'."
"Show me click statistics for link lnk_4921."
"List all my bio link pages."
Troubleshooting AB.GL MCP Server with LlamaIndex
Common issues when connecting AB.GL to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAB.GL + LlamaIndex FAQ
Common questions about integrating AB.GL MCP Server with LlamaIndex.