Can the assistant create new Retool apps or modify queries?

No, this integration is primarily focused on querying and auditing your Retool workspace. It can list apps (`list_apps`), detail definitions (`get_app`), and trace infrastructure (`list_resources`, `list_workflows`) but cannot currently modify app UI or delete users.

Where do I find the Retool Domain?

Your Retool domain is exactly what you see in the URL bar when you log into Retool. For example, if you access Retool at `https://acme-corp.retool.com`, your domain is `acme-corp.retool.com`. For self-hosted deployments, use the root domain of your custom instance.

Can the AI show me which automated workflows are currently active?

Yes. Use `list_workflows` to retrieve all automation workflows configured in your Retool workspace, including their names and status. This lets you quickly verify which background processes are running without opening the Retool dashboard.

Retool MCP Server for CrewAI 7 tools — connect in under 2 minutes

Name: Retool
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 7 Tools Framework

Connect your CrewAI agents to Retool through Vinkius, pass the Edge URL in the `mcps` parameter and every Retool tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Retool Specialist",
    goal="Help users interact with Retool effectively",
    backstory=(
        "You are an expert at leveraging Retool tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Retool "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 7 available tools "
        "and what they can do."
    ),
)

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

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IAMAccess control

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DLPData protection

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Ed25519Audit chain

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Retool MCP Server

Connect your conversational assistant directly to the Retool ecosystem. This integration enables your AI to explore the organizational structure of your internal tools, auditing who has access to what, and reviewing which databases are connected.

When paired with CrewAI, Retool becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Retool tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Audit Applications — Ask your assistant to scan your Retool workspace (list_apps) and drill down into the configuration of specific tools (get_app). Observe how tools are organized by requesting a view of the folder hierarchy (list_folders).
Manage Permissions & Users — Review the active members of your Retool organization (list_users) and understand their access levels by listing the existing permission groups (list_groups).
Review DevOps & Infrastructure — Command the AI to inspect which data sources or APIs are wired into your operational stack (list_resources), and list any active background automation tasks (list_workflows).

The Retool MCP Server exposes 7 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Retool to CrewAI via MCP

Follow these steps to integrate the Retool MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 7 tools from Retool

Why Use CrewAI with the Retool MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Retool through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Retool + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Retool MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Retool for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Retool, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Retool tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Retool against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Retool MCP Tools for CrewAI (7)

These 7 tools become available when you connect Retool to CrewAI via MCP:

get_app

Retrieves details for a specific Retool application

list_apps

Lists all applications in the Retool organization

list_folders

Lists all folders in the Retool workspace

list_groups

Lists all permission groups

list_resources

Lists all data resources configured in Retool

list_users

Lists all users in the Retool organization

list_workflows

Lists all Retool Workflows

Example Prompts for Retool in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Retool immediately.

"List all users in my Retool workspace."

"List all applications currently configured."

"Tell me what resources are connected to our Retool."

Troubleshooting Retool MCP Server with CrewAI

Common issues when connecting Retool to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Retool + CrewAI FAQ

Common questions about integrating Retool MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.