Dub.co 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 Dub.co as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Dub.co. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Dub.co?"
)
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 Dub.co MCP Server
Connect your AI agent to Dub.co (formerly Dub.sh), the modern link management platform for marketing teams. This integration allows you to generate short links, oversee your workspaces, and retrieve deep performance analytics through natural conversation.
LlamaIndex agents combine Dub.co 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
- Link Creation — Instantly generate short links for any destination URL with custom slugs and domains
- Deep Analytics — Retrieve click data, lead tracking, and geographic breakdowns (countries, cities, devices)
- Workspace Management — List and switch between different workspaces and domains associated with your account
- Organization — Use tags to categorize your links and filter them efficiently
- Social Metadata — Inspect metatags (Open Graph) for any URL before or after link creation
The Dub.co 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 Dub.co to LlamaIndex via MCP
Follow these steps to integrate the Dub.co 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 Dub.co
Why Use LlamaIndex with the Dub.co MCP Server
LlamaIndex provides unique advantages when paired with Dub.co through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Dub.co tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Dub.co tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Dub.co, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Dub.co tools were called, what data was returned, and how it influenced the final answer
Dub.co + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Dub.co MCP Server delivers measurable value.
Hybrid search: combine Dub.co real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Dub.co 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 Dub.co for fresh data
Analytical workflows: chain Dub.co queries with LlamaIndex's data connectors to build multi-source analytical reports
Dub.co MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Dub.co to LlamaIndex via MCP:
create_short_link
Create a new short link
delete_short_link
Permanently delete a short link
get_link_details
Retrieve detailed information for a specific short link
get_url_metatags
Retrieve Open Graph metatags for a specific URL
get_workspace_analytics
Retrieve aggregate analytics for the authenticated workspace
list_domains
Retrieve a list of all domains in the current workspace
list_links
Retrieve a list of short links for the authenticated workspace
list_tags
Retrieve a list of all tags in the current workspace
list_workspaces
Retrieve a list of all workspaces the user has access to
update_short_link
Update an existing short link
Example Prompts for Dub.co in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Dub.co immediately.
"Create a short link for 'https://vinkius.com' using the slug 'vinkius-home'."
"Show me the click analytics for my workspace."
Troubleshooting Dub.co MCP Server with LlamaIndex
Common issues when connecting Dub.co to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDub.co + LlamaIndex FAQ
Common questions about integrating Dub.co 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 Dub.co 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 Dub.co to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.