Can I check how many people clicked my link today?

Yes! Use the `get_link_clicks` tool with your Bitlink. Your agent will fetch the total click summary directly from the Bitly engine.

How do I see which countries my clicks are coming from?

Simply ask the agent to `get_clicks_by_country` for a specific Bitlink. It will return a breakdown of traffic by geographic origin.

Does the integration allow me to delete a Bitlink?

Bitlinks cannot be truly deleted via the standard API; they can only be archived or hidden. Currently, the toolset focuses on creation and monitoring (shortening links, checking metrics).

Bitly MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Bitly
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Bitly through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Bitly "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Bitly?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Bitly MCP Server

Connect your Bitly account to any AI agent and orchestrate your link management and analytics workflows through natural conversation.

Pydantic AI validates every Bitly 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 Shortening — Instantly shorten long URLs into branded or generic Bitlinks.
Click Analytics — Retrieve real-time click counts and historical performance for any link.
Geographic Insights — Analyze where your traffic is coming from with clicks-by-country metrics.
Referrer Tracking — Identify which networks and sites are driving traffic to your links.
Group Oversight — Manage your organization's groups and retrieve aggregated click data.
Tag Discovery — Access and list tags used across your Bitlink inventory for better organization.

The Bitly 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 Bitly to Pydantic AI via MCP

Follow these steps to integrate the Bitly 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 Bitly with type-safe schemas

Why Use Pydantic AI with the Bitly MCP Server

Pydantic AI provides unique advantages when paired with Bitly 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 Bitly integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Bitly connection logic from agent behavior for testable, maintainable code

Bitly + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Bitly MCP Server delivers measurable value.

Type-safe data pipelines: query Bitly with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Bitly tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Bitly and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Bitly responses and write comprehensive agent tests

Bitly MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Bitly to Pydantic AI via MCP:

create_qr_code

Generate a QR code for a link

get_bitlink

Get link details

get_clicks

Get click analytics for a link

get_countries

Get click analytics by country

get_referrers

Get referrer analytics

get_user

Get account info

list_bitlinks

List links in a group

list_groups

List all Bitly groups

shorten_url

Optionally set custom domain and title. Shorten a URL

update_bitlink

Update link title

Example Prompts for Bitly in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Bitly immediately.

"Shorten this URL: https://vurb.vinkius.com/docs/intro"

"Show me the click summary for bit.ly/3VurbDocs."

"List my Bitly groups."

Troubleshooting Bitly MCP Server with Pydantic AI

Common issues when connecting Bitly to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Bitly + Pydantic AI FAQ

Common questions about integrating Bitly MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Bitly MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.