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

Deploy autonomous database administration teams with the Hasura (Instant GraphQL & REST Engine) MCP Server for CrewAI.

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Works with every AI agent you already use

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

Create your Vinkius account to connect Hasura (Instant GraphQL & REST Engine) to CrewAI 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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Orchestrate CrewAI Database Teams

The `execute_graphql` tool gives your CrewAI agents direct read and write access to your Postgres database through Hasura. A research agent can run batched queries to gather user data, while an execution agent runs mutations to update records based on the findings. Everything happens autonomously. You define the schema, hand the MCP Server tools to the crew, and let them handle the sequential data processing without human intervention.

Optimize SQL Execution Plans

The `explain_graphql` tool allows a specialized database administrator agent to analyze slow queries. The agent requests the execution plan, reads the generated SQL, and identifies missing indexes or inefficient joins. It then feeds this analysis back to the developer team or uses it to rewrite the GraphQL request entirely. The entire optimization cycle occurs within the shared memory of the crew.

Automate Postgres Backups

The `pg_dump` tool lets a maintenance agent trigger full database backups on a schedule. The agent connects to the Postgres source, executes the dump, and retrieves the raw SQL output. Another agent can then take that output and push it to secure storage. You build a complete disaster recovery pipeline using just one tool command.

Setup guide

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

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Hasura (Instant GraphQL & REST Engine) tools as needed.

crew.py
from crewai import Agent, Task, Crew

agent = Agent(
    role="Hasura (Instant GraphQL & REST Engine) Analyst",
    goal="Access and analyze Hasura (Instant GraphQL & REST Engine) data via MCP.",
    backstory="Expert analyst with direct Hasura (Instant GraphQL & REST Engine) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Hasura (Instant GraphQL & REST Engine) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

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

Single dashboard

One

place for every integration

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 CrewAI

Pass the endpoint URL directly into the `mcps` array when defining your agent. CrewAI automatically discovers all seven tools.
Yes. Use `MCPServerHTTP` from `crewai.mcp` and apply a `tool_filter`. This lets you give one agent `execute_graphql` while restricting `pg_dump` to an admin agent.
Assign a monitor agent the `check_health` tool. It can run periodic checks with strict mode enabled to verify metadata consistency and trigger alerts if the server fails.
They can. The `get_config` and `get_version` tools return the exact Hasura server settings, allowing agents to adapt their behavior based on the live environment.
The `pg_dump` tool pulls your entire database schema and raw table contents. This MCP Server operates strictly within an isolated V8 sandbox, ensuring no residual data persists on our infrastructure after the Python client disconnects.

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

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 7 tools

We've already built the connector for Hasura (Instant GraphQL & REST Engine). Just plug in your AI agents and start using Vinkius.

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All 7 tools are live and waiting. You're up and running in seconds.

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