How to Use the Nhost MCP in AutoGen
Equip your AutoGen agents to debate and execute Nhost operations. One agent can propose a user action, another can validate it before running.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Nhost MCP to AutoGen
Create your Vinkius account to connect Nhost 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 Auth Flows Before Execution
This isn't about one agent blindly calling tools. You can set up a conversation where a 'user proxy' agent suggests signing up a new user, and a 'security' agent confirms that using `signup_email_password` is the right tool for the job. The agents reach a consensus before any action is taken. This prevents errors and ensures the correct Nhost authentication flow is chosen, whether it's `signin_otp_email` for quick access or a full password-based login.
Isolate Actions Between Agents
Assign different Nhost tools to different agents to enforce separation of duties. For example, give your 'storage manager' agent access to `upload_file` and `delete_file`, but restrict your 'user admin' agent to only `get_user` and `reset_password`. This mirrors real-world team permissions. The conversation between agents becomes a log of who did what and why, because one agent has to explicitly ask another to perform an action it can't do itself. This is a core strength of using this MCP server with AutoGen.
Build a Multi-Agent AutoGen DevOps Team
Create a team of agents to manage your Nhost backend. One agent could be tasked with onboarding new users via `signup_otp_email`, while another's job is to generate temporary access links using `get_file_presigned_url` for support tickets. They don't just execute; they coordinate. The 'onboarding' agent can notify the 'support' agent when a new user is created, triggering the next step in a complex, automated workflow.
Set up Nhost 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 Nhost 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="Nhost_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Nhost 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="Nhost_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Nhost 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 Nhost. 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 Nhost MCP in AutoGen
Use it with your favorite AI tools
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