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

Index your Hasura (Instant GraphQL & REST Engine) data into LlamaIndex for grounded, searchable AI knowledge.

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LlamaIndex

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

Create your Vinkius account to connect Hasura (Instant GraphQL & REST Engine) to LlamaIndex 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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Semantic knowledge indexing

Fetch live data using `execute_graphql` and immediately turn it into searchable vectors. It grounds your agent responses in real-time records rather than stale data. Use `explain_graphql` to optimize the queries you run against your index. This ensures your data retrieval is fast and accurate.

Database schema management

Use `execute_metadata` to update your engine settings directly from your indexing pipeline. It keeps your database structure in sync with your evolving knowledge base. Call `get_version` to confirm your infrastructure is compatible with your current LlamaIndex implementation. It helps avoid version-mismatch errors during ingestion.

Infrastructure monitoring

Verify your system health with `check_health` before running large-scale index updates. It prevents failures caused by temporary server downtime. Retrieve deep configuration settings with `get_config`. This gives your agent full visibility into the environment it is currently querying.

Setup guide

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

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Hasura (Instant GraphQL & REST Engine) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Hasura (Instant GraphQL & REST Engine) tools.",
)
response = await agent.run("List recent Hasura (Instant GraphQL & REST Engine) data")

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Why Choose Vinkius

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Real-time monitoring

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Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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Every tool your AI connects to, managed from a single screen. One account, complete control.

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

Use the MCP tool spec to wrap the server client. This exposes the tools to your FunctionAgent for seamless integration.
You can use `execute_graphql` to query any audit tables you have configured in your database. It is not a direct log reader, but it works for table-based data.
Yes. You can use the metadata tools to pull schema information into your index for better context awareness.
Limit access to `pg_dump` and `execute_metadata` to prevent unauthorized schema changes or data exports.
The server relies on Postgres-level permissions. Your agent only sees data permitted by the specific role assigned to the MCP connection.

Start using the Hasura (Instant GraphQL & REST Engine) MCP today

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