How to Use the Flock MCP in AutoGen
Run multi-agent debates in AutoGen to coordinate Flock workspace alerts and verify team memberships automatically.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Flock MCP to AutoGen
Create your Vinkius account to connect Flock 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.
Coordinate Flock notifications via AutoGen debates.
The `chat_send_message` tool allows your AutoGen assistant agent to post structured FlockML alerts to Flock channels after reaching a consensus. In this multi-agent setup, one AutoGen agent drafts the FlockML payload while a security agent reviews it before posting to Flock. This collaborative workflow ensures that only verified, correctly formatted alerts are sent to your Flock channels by AutoGen. That's how you prevent raw, unformatted text from cluttering your Flock workspace during AutoGen execution loops.
Audit Flock memberships using AutoGen security agents.
The `channels_list_members` tool lets your AutoGen security agent identify active UUIDs attached to a Flock channel before executing sensitive commands. The AutoGen supervisor agent queries this Flock membership list to verify that only authorized users are present. This programmatic verification within AutoGen prevents unauthorized data exposure inside your Flock channels. Using this API tool, AutoGen agents can automatically restrict access based on real-time Flock membership.
Resolve Flock routing in AutoGen multi-agent workflows.
The `roster_list_directory` tool resolves direct human aliases to absolute Flock UUIDs so your AutoGen agents can route tasks accurately. When an AutoGen planning agent assigns a task, it queries the Flock roster directory to find the correct recipient UUID. This dynamic resolution prevents communication failures in complex AutoGen multi-agent pipelines operating on Flock. Integrating this MCP tool allows your AutoGen conversational network to target the right Flock users every time.
Set up Flock 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Flock tools and returns structured results.
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="Flock_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Flock data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="Flock_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Flock data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Flock. 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.
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 Flock MCP in AutoGen
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Flock MCP today
We host it, we monitor it, we maintain it. You just paste one token.