Can I list all responses for a specific form?

Yes, provide the Form ID and the agent will fetch all recent submissions and their data fields.

How do I find out which forms are currently active?

Ask the AI to list your forms. It will display all your workspaces' forms with their current status.

Does it support creating forms automatically?

The current scope focuses on data retrieval and submission analysis. Form creation must be done via the Proforms UI.

INSTANT PLUG AND PLAY

Proforms MCP Server for CrewAIGive CrewAI instant access to 12 tools to Create Job, Get Asset, Get Form, and more

Name: Proforms
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools Framework

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

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

Open in ChatGPT Open in Claude Open in Perplexity

The Proforms app connector for CrewAI is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Proforms Specialist",
    goal="Help users interact with Proforms effectively",
    backstory=(
        "You are an expert at leveraging Proforms 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 Proforms "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

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

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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 Proforms MCP Server

The Proforms MCP server allows your AI agent to query form responses, retrieve submission data, and list active forms natively. Analyze your collected data immediately through conversation without downloading CSV files.

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

The Proforms MCP Server exposes 12 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.

All 12 Proforms tools available for CrewAI

When CrewAI connects to Proforms through Vinkius, your AI agent gets direct access to every tool listed below — spanning form-builder, data-collection, submission-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_job

Push a new job to a field worker

get_asset

Retrieve details for a specific asset

get_form

Retrieve details for a specific form

get_job

Retrieve details for a specific field job

get_me

Check API connectivity and get user context

get_submission

Retrieve details for a specific form submission

list_assets

List all registered equipment assets

list_forms

List all mobile forms

list_jobs

List all field jobs/tasks

list_submissions

List all data submissions for a specific form

list_users

List all back-office and field users

update_job

Modify an existing field job

Connect Proforms to CrewAI via MCP

Follow these steps to wire Proforms into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 tools from Proforms

Why Use CrewAI with the Proforms MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Proforms 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

Proforms + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Proforms 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 Proforms, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Proforms 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 Proforms against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Proforms in CrewAI

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

"List all active forms in my account."

"Fetch the latest responses for form ID 8901."

"Summarize the feedback from 'Customer Feedback Survey'."

Troubleshooting Proforms MCP Server with CrewAI

Common issues when connecting Proforms 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.

Proforms + CrewAI FAQ

Common questions about integrating Proforms 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.