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

Q: Can LangChain handle batched requests from Hasura (Instant GraphQL & REST Engine)?

Yes. The executegraphql tool accepts standard GraphQL payloads, so you can send batch operations as a single call from your agent.

Chain your Hasura (Instant GraphQL & REST Engine) calls directly into LangChain agents for automated data pipelines.

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

Create your Vinkius account to connect Hasura (Instant GraphQL & REST Engine) to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Hasura (Instant GraphQL & REST Engine) with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automated query execution

Pipe live data into your reasoning chains using `execute_graphql`. This lets your agent fetch state or push mutations without writing manual boilerplate code. Chain the output of `execute_graphql` directly into other tools. It removes the friction of manual data passing in complex agent workflows.

Performance observability

Use `explain_graphql` to inspect SQL plans before your agent commits to a heavy operation. It provides the insight needed to avoid slow database queries in your chain. Monitor your server status with `check_health`. It ensures your agent only attempts operations when the engine is actually ready to respond.

Metadata and config control

Manage your schema programmatically by calling `execute_metadata` inside your agent logic. It allows your system to adapt to changing requirements in real-time. Retrieve environment details using `get_config` and `get_version`. Your agent uses this to verify the environment matches your expected production setup.

Setup guide

Set up Hasura (Instant GraphQL & REST Engine) MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Hasura (Instant GraphQL & REST Engine) tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "hasura-instant-graphql-rest-engine-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Hasura (Instant GraphQL & REST Engine) transactions"
    })
    print(result["messages"][-1].content)

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

Install the necessary MCP adapters and initialize the client pointing to your endpoint. You then fetch the tool list and inject them into your agent definition.

Yes. The `execute_graphql` tool accepts standard GraphQL payloads, so you can send batch operations as a single call from your agent.

The MCP server is stateless. You must use the client session features to maintain persistent context between your agent steps.

The tool returns an error object. Your agent can catch this and decide whether to retry or trigger a fallback process.

The server respects your existing Row Level Security policies. It only exposes what your authenticated Hasura role permits.

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