Dub.co MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Dub.co through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"dubco": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Dub.co, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Dub.co through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Dub.co MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Dub.co via MCP
Why Use LangChain with the Dub.co MCP Server
LangChain provides unique advantages when paired with Dub.co through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Dub.co MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Dub.co queries for multi-turn workflows
Dub.co + LangChain Use Cases
Practical scenarios where LangChain combined with the Dub.co MCP Server delivers measurable value.
RAG with live data: combine Dub.co tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Dub.co, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Dub.co tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Dub.co tool call, measure latency, and optimize your agent's performance
Dub.co MCP Tools for LangChain (10)
These 10 tools become available when you connect Dub.co to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Dub.co to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersDub.co + LangChain FAQ
Common questions about integrating Dub.co MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.