How to Use the Flotiq MCP in AutoGen
Run multi-agent AutoGen debates to validate, format, and safely publish content directly to your Flotiq headless CMS via MCP.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Flotiq MCP to AutoGen
Create your Vinkius account to connect Flotiq 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.
Validate Flotiq schemas in AutoGen debates
`get_content_type_schema` allows your AutoGen editing agent to inspect Flotiq model rules and debate formatting with a dedicated QA agent before publishing. The QA agent checks the Flotiq schema requirements to ensure the AutoGen editor's draft complies with all validation rules. This collaborative process stops malformed data from ever hitting your Flotiq CMS during AutoGen executions. By resolving schema conflicts through AutoGen agent conversation, your team avoids broken API requests and keeps your production Flotiq database clean.
Safe Flotiq deletions via AutoGen consensus
`wipe_cms_object` is only triggered after your AutoGen security agent and compliance agent both agree that a Flotiq content record is obsolete. This MCP setup prevents accidental Flotiq data loss by requiring explicit agreement between AutoGen agents before running destructive actions. The AutoGen security agent verifies the target ID using `get_content_details` while the compliance agent checks Flotiq archiving rules. Only when both AutoGen agents sign off does the server execute the deletion command on your Flotiq database.
Coordinate Flotiq content updates in AutoGen
`patch_cms_object` executes targeted updates after your AutoGen agents reach consensus on Flotiq content edits. The AutoGen writer agent drafts the changes, the SEO agent reviews the keywords, and the publisher agent applies the patch to Flotiq. This distributed AutoGen workflow ensures that every Flotiq CMS update undergoes thorough review. Your AutoGen agents collaborate in real-time to refine text, verify links, and push updates to Flotiq without human intervention.
Set up Flotiq 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 Flotiq 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="Flotiq_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Flotiq 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="Flotiq_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Flotiq 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 Flotiq. 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.
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Common questions about Flotiq MCP in AutoGen
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