How to Use the AB.GL MCP in Pydantic AI

Type-safe URL shortening and real-time link analytics for your Pydantic AI agents using this MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect AB.GL MCP to Pydantic AI

Create your Vinkius account to connect AB.GL to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup AB.GL with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Type-safe link creation with the AB.GL MCP Server

Run your URL shortening with strict runtime validation using the `create_short_link` tool. If the API returns unexpected schemas, your agent halts immediately with a validation error.

Strict schema validation for tracking analytics

Pull campaign metrics without worrying about missing fields using the `get_link_stats` tool. Safely loop through your portfolio using `list_links` and `get_link`.

Structured domain and bio page audits

Verify your brand domains using strict type checks with the `list_domains` tool. Managing your social profiles is done with the `list_bio_links` and `get_bio_link` tools.

Setup guide

Set up AB.GL MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "abgl-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to AB.GL tools.",
)

result = await agent.run("List recent AB.GL transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AB.GL. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect AB.GL now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AB.GL MCP in Pydantic AI

Use the unified MCPToolset class pointing to your server's HTTP endpoint. Pass this toolset directly into your Agent's toolsets list to expose tools like `create_short_link`.

Yes, because the framework is model-agnostic. You can run local models or commercial APIs while maintaining strict type safety on tools like `get_link_stats`.

The framework will raise a validation error instantly instead of letting your agent hallucinate. This ensures your tracking pipelines fail loudly and safely if `list_links` returns unexpected types.

This setup supports both Streamable HTTP and SSE transports. You just need to ensure the MCP server runs externally so your python code can connect to it.

All traffic passes through a secure, zero-trust endpoint token. Your short link payloads and domain metrics are encrypted in transit and processed within an isolated memory space.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript