How to Use the Craft.io MCP in AutoGen
Assemble teams of AutoGen agents to debate product strategy and update your Craft.io roadmaps.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Craft.io MCP to AutoGen
Create your Vinkius account to connect Craft.io 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.
Run a Multi-Agent Strategy Session
Model your product team with agents. Create a 'Product Manager' agent that uses `list_items` and `get_item` to track the current roadmap. Assign a 'Market Analyst' agent to monitor the competition using `search_companies` and `get_company_competitors`. Then, let them talk. The Analyst agent can report a new competitor launch, and the Product Manager agent can check the backlog for relevant features. They'll debate priority and suggest actions, using live data from your Craft.io instance to back up their arguments.
Let Agents Debate and Create Tasks
This isn't just a discussion group. Once your agents reach a consensus, a 'Planner' agent can execute the decision. It can take the outcome of the debate and use the `create_item` tool to add a new task directly to your Craft.io product backlog. With this MCP Server, the entire loop is automated. The process goes from market discovery with `get_company_news`, to team debate, to task creation with `create_item`, all handled by the conversation between your AutoGen agents. You just define the team and the goal.
An AutoGen Team for Product Management
Build specialized agents that mirror real-world roles. A 'Finance' agent could have exclusive access to the `get_company_financials` tool to weigh in on budget. A 'QA' agent could use `get_item` to report on the status of features currently in testing. AutoGen lets you build systems that deliberate. One agent proposes an idea, another challenges its cost, and a third confirms the technical details by calling a tool. This MCP connection to Craft.io gives your agent team the ground truth they need to have a productive debate.
Set up Craft.io 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 Craft.io 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="Craft.io_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Craft.io 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="Craft.io_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Craft.io 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 Craft.io. 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 Craft.io MCP in AutoGen
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