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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Hasura (Instant GraphQL & REST Engine) MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Hasura (Instant GraphQL & REST Engine) tools as needed.
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) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
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.",
tools=mcp_tools,
)
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) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hasura. 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.
Why Choose Vinkius
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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
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Common questions about Hasura (Instant GraphQL & REST Engine) MCP in CrewAI
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