How to Use the Hygraph (Headless CMS) MCP in AutoGen
Let your AutoGen agents debate content updates, validate schemas, and publish to Hygraph (Headless CMS) through consensus.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Hygraph (Headless CMS) MCP to AutoGen
Create your Vinkius account to connect Hygraph (Headless CMS) 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.
Debate and Validate Schema Changes in AutoGen
The `list_schema_introspection` tool lets your AutoGen developer agent fetch current model structures to resolve schema conflicts. If a field mismatch occurs, the agent presents the layout to your security agent for review. This collaborative check prevents broken API deployments. Your agents negotiate the changes before executing any direct writes to your headless environment.
Coordinate Multi-Agent Hygraph Content Publishing
The `create_cms_document` tool allows your copywriter agent to draft new content nodes directly. Once drafted, a separate editor agent reviews the copy and triggers `publish_cms_document` only after validation passes. This multi-agent workflow ensures no draft goes live without consensus. You configure the exact rules for approval, and the agents execute the transitions autonomously using this MCP Server.
Safely Mutate and Wipe Content in AutoGen
The `update_cms_document` tool lets your database agent modify existing records using this MCP Server integration. If the agents agree that a document is obsolete, they call `wipe_cms_document` to remove it. Every single mutation is discussed and agreed upon in the conversation thread. This prevents accidental data loss by requiring multiple agents to verify the action against your active locales fetched from `list_project_locales`.
Set up Hygraph (Headless CMS) 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 Hygraph (Headless CMS) 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="Hygraph (Headless CMS)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Hygraph (Headless CMS) 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="Hygraph (Headless CMS)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Hygraph (Headless CMS) 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 Hygraph. 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 Hygraph (Headless CMS) MCP in AutoGen
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