How to Use the BL.INK MCP in AutoGen

Q: Does the server require specific AutoGen setup?

You use the mcp-ext package to connect. The adapter handles the tool schema automatically, so your agents can start debating immediately.

Debate your link strategy with AutoGen agents using BL.INK tool integration.

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Connect BL.INK MCP to AutoGen

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

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Setup BL.INK with AutoGen

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Negotiate link updates with AutoGen

Task an agent with `update_link` while another monitors your traffic. They discuss the change, ensuring your link modifications meet all performance criteria. One agent proposes a new URL structure using `shorten_link`. The other reviews the tags retrieved via `list_tags` to confirm it matches your current taxonomy.

Validate BL.INK records in AutoGen

Use `get_link` to feed data into a debate between your agents. If the link details don't match your requirements, the agents flag the discrepancy. They reach a consensus on whether to proceed with a `delete_link` command. This prevents accidental removal of active campaign URLs.

Coordinate multi-agent BL.INK management

Multiple agents analyze `get_link_analytics` to determine link health. They deliberate on whether to keep or archive links based on the click volume. Each agent brings a different perspective to your link management. They negotiate the final action to take, ensuring your BL.INK workspace remains optimized.

Setup guide

Set up BL.INK MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes BL.INK tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="BL.INK_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent BL.INK data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="BL.INK_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent BL.INK data")
    print(result.messages[-1].content)

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 BL.INK. 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

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Common questions about BL.INK MCP in AutoGen

You pass the tools to the AssistantAgent. The agents then call them as part of their conversation to satisfy their assigned tasks.

Yes, you can set up multiple agents with conflicting goals. They will negotiate the use of `shorten_link` or `update_link` before executing.

The Vinkius sandbox ensures your credentials are never exposed to the agents. Only the specific tool outputs are shared within the conversation.

You use the `mcp-ext` package to connect. The adapter handles the tool schema automatically, so your agents can start debating immediately.

It only touches your link records and account metadata. The server isolates these requests from the rest of your agent's conversation history.

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

Mastra AI sdk-typescript

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