Rebrandly MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Branded Link, Delete Short Link, Get Account Details, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Rebrandly 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 Rebrandly 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 Rebrandly. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Rebrandly?"
)
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 Rebrandly MCP Server
What you can do
- Create and manage branded short links with custom slashtags to enhance your brand presence and track performance.
- Organize your links across different workspaces and domains to maintain a structured marketing ecosystem.
- Update destination URLs, titles, and metadata programmatically to adapt to changing marketing campaigns.
- Access real-time click statistics and account metadata through the Rebrandly REST API v1.
Who is it for?
Designed for digital marketers, brand managers, and developers who want to leverage AI for intelligent link management and high-fidelity branding automation.LlamaIndex agents combine Rebrandly 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.
The Rebrandly 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 Rebrandly tools available for LlamaIndex
When LlamaIndex connects to Rebrandly through Vinkius, your AI agent gets direct access to every tool listed below — spanning link-shortener, rebrandly, branded-links, 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.
Shorten a URL
Remove a link
Get profile info
Get domain metadata
Check link usage
Get link info
List team spaces
List custom domains
List branded links
Find links
Check connection
Modify a link
Connect Rebrandly to LlamaIndex via MCP
Follow these steps to wire Rebrandly 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 Rebrandly MCP Server
LlamaIndex provides unique advantages when paired with Rebrandly through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Rebrandly tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Rebrandly tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Rebrandly, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Rebrandly tools were called, what data was returned, and how it influenced the final answer
Rebrandly + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Rebrandly MCP Server delivers measurable value.
Hybrid search: combine Rebrandly real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Rebrandly 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 Rebrandly for fresh data
Analytical workflows: chain Rebrandly queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Rebrandly in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Rebrandly immediately.
"Create a branded link for our new summer collection landing page at https://fashion-hub.com/collections/summer-2024 and use the slashtag 'summer-vibes'."
"How many branded links have we generated in our account so far?"
"Find the link titled 'Q3 Investor Update' and update its destination to https://investors.techcorp.com/reports/q3-final."
Troubleshooting Rebrandly MCP Server with LlamaIndex
Common issues when connecting Rebrandly to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpRebrandly + LlamaIndex FAQ
Common questions about integrating Rebrandly MCP Server with LlamaIndex.