How to Use the Hasura (Instant GraphQL & REST Engine) MCP in AutoGen

Q: How do I connect Hasura (Instant GraphQL & REST Engine) to AutoGen?

Use the mcpservertools adapter to fetch the definitions. Pass these directly to your AssistantAgent constructor.

Debate and decide using Hasura (Instant GraphQL & REST Engine) tools within AutoGen multi-agent systems.

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Connect Hasura (Instant GraphQL & REST Engine) MCP to AutoGen

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Setup Hasura (Instant GraphQL & REST Engine) with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Consensus-based query execution

Let your agents debate the best query using `execute_graphql`. One agent suggests the query, another reviews it, and the final agent executes it. Use `explain_graphql` as part of the review process. It allows your agents to argue over the efficiency of generated SQL plans before finalizing.

System configuration and health

Assign a monitoring agent to call `check_health` periodically. If it detects an issue, it can alert the rest of your agent team. Use `get_config` to share server parameters across your agents. This ensures every participant has the same context about the environment.

Schema and data administration

Limit `execute_metadata` to a dedicated admin agent. This ensures that only authorized entities can modify your Hasura engine settings. Run `pg_dump` via an agent when a backup is required. It allows for automated, scheduled maintenance without human intervention.

Setup guide

Set up Hasura (Instant GraphQL & REST Engine) 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 includes mcp_server_tools for 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 AssistantAgent and call agent.run(). The agent invokes Hasura (Instant GraphQL & REST Engine) tools and returns structured results.

agent.py

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="Hasura (Instant GraphQL & REST Engine)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Hasura (Instant GraphQL & REST Engine) data")
print(result.messages[-1].content)

Get your connection token →

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. McpWorkbench is 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=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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="Hasura (Instant GraphQL & REST Engine)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Hasura (Instant GraphQL & REST Engine) data")
    print(result.messages[-1].content)

Get your connection token →

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Common questions about Hasura (Instant GraphQL & REST Engine) MCP in AutoGen

Use the mcp_server_tools adapter to fetch the definitions. Pass these directly to your AssistantAgent constructor.

Yes. Since agents participate in a shared conversation, every tool output is visible to the entire team for further deliberation.

Configure your Hasura API key with restricted roles. The MCP server will then only execute operations allowed by that role.

Yes, if the tool is included in the agent's allowed list. Be careful with this as it requires significant permissions.

The server enforces Row Level Security at the database level. Your agents only ever access the specific records allowed by your configured security rules.

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