How to Use the Ayrshare MCP in AutoGen

Q: How do I register Ayrshare tools with AutoGen agents?

Use the mcpservertools helper with your Vinkius HTTP URL. Pass the resulting tool list directly into your AutoGen AssistantAgent constructor to give your agents publishing capabilities.

Q: How do AutoGen agents analyze Ayrshare performance?

An analyst agent calls getpostanalytics to retrieve engagement numbers. It then presents these metrics to the group, allowing a strategy agent to adjust future scheduling decisions.

Let your AutoGen agents debate and optimize your Ayrshare social campaigns before hitting publish.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Ayrshare MCP to AutoGen

Create your Vinkius account to connect Ayrshare 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.

GDPR Free for Subscribers

Setup Ayrshare with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debated social publishing with AutoGen

This Ayrshare MCP Server enables multi-agent AutoGen workflows where a copywriter agent drafts a post and a compliance agent reviews it. Only after both AutoGen agents agree does the executor agent call `create_post` to publish. It's a built-in safety check. If the compliance agent flags an issue, the copywriter agent revises the draft before the final call. This consensus-driven loop ensures no unapproved messages are sent to your social channels.

Consensus-driven campaign scheduling

This Ayrshare MCP Server allows AutoGen agents to coordinate complex schedules by debating the best times to post. A scheduling agent analyzes queue slots using `list_auto_schedules` while an analytics agent reviews past performance. Once they agree on the highest-traffic window, the AutoGen execution agent calls `schedule_post` or updates the queue with `set_auto_schedule`. Old, underperforming queues are pruned using `delete_auto_schedule` only after a group vote.

Multi-agent brand profile management

This Ayrshare MCP Server provides brand profile management tools to enforce strict operational boundaries in AutoGen. An admin agent calls `list_profiles` to audit active accounts, while a security agent checks connection statuses via `get_account_check`. If a profile is inactive, the AutoGen agents discuss whether to recreate it using `create_profile` or clean it up with `delete_profile`. Every decision is recorded in the agent conversation logs for full auditing.

Setup guide

Set up Ayrshare 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 Ayrshare 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="Ayrshare_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Ayrshare 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="Ayrshare_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Ayrshare 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 Ayrshare. 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 Ayrshare 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 Ayrshare MCP in AutoGen

Use the `mcp_server_tools` helper with your Vinkius HTTP URL. Pass the resulting tool list directly into your AutoGen `AssistantAgent` constructor to give your agents publishing capabilities.

Yes, you can set up a group chat where one agent drafts the message and another uses `create_post` to publish it. This prevents single-agent errors by requiring a multi-agent review process.

An analyst agent calls `get_post_analytics` to retrieve engagement numbers. It then presents these metrics to the group, allowing a strategy agent to adjust future scheduling decisions.

Yes, AutoGen supports both stdio and HTTP transports for MCP. This lets your multi-agent system run autonomously in CI/CD pipelines or background workers.

The Vinkius MCP Server manages your Ayrshare profile tokens securely in an ephemeral runtime. AutoGen agents only receive the direct output of tool executions like post IDs and analytics, keeping your underlying API credentials isolated.

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