Dub.co MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Dub.co through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Dub.co "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Dub.co?"
)
print(result.data)
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.
Pydantic AI validates every Dub.co tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Dub.co MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 with type-safe schemas
Why Use Pydantic AI with the Dub.co MCP Server
Pydantic AI provides unique advantages when paired with Dub.co through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Dub.co integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Dub.co connection logic from agent behavior for testable, maintainable code
Dub.co + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Dub.co MCP Server delivers measurable value.
Type-safe data pipelines: query Dub.co with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Dub.co tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Dub.co and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Dub.co responses and write comprehensive agent tests
Dub.co MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Dub.co to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Dub.co to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiDub.co + Pydantic AI FAQ
Common questions about integrating Dub.co MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.