How do I find my Survalyzer API credentials?

Log in to your Survalyzer account and navigate to the Public API section in your settings to generate your unique Client ID and Client Secret. Also note if your account is in the EU or Swiss datacenter.

INSTANT PLUG AND PLAY

Survalyzer MCP Server for CrewAIGive CrewAI instant access to 12 tools to Create And Invite Members, Create Member, Get Account Info, and more

Name: Survalyzer
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Survalyzer through Vinkius, pass the Edge URL in the `mcps` parameter and every Survalyzer 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

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The Survalyzer app connector for CrewAI is a standout in the Industry Titans 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="Survalyzer Specialist",
    goal="Help users interact with Survalyzer effectively",
    backstory=(
        "You are an expert at leveraging Survalyzer 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 Survalyzer "
        "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 Survalyzer MCP Server

Connect your Survalyzer account to any AI agent to automate your advanced market research and professional survey orchestration. Survalyzer provides a premier platform for complex feedback management, and this integration allows you to browse survey lists, manage panel members, and automate survey distribution through natural conversation.

When paired with CrewAI, Survalyzer becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Survalyzer 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

Survey & Research Orchestration — List all managed surveys and retrieve detailed metadata, including structure and layout info programmatically.
Panel & Member Management — List and create panel members to ensure your respondent database is always up to date directly from the AI interface.
Distribution Automation — Create and send survey invitations to panel members using simple AI commands to streamline your outreach.
Language & Layout Control — Access available survey languages and layouts to ensure your research is optimized for diverse global audiences.
Operational Monitoring — Track survey progress and manage webhooks to ensure your feedback data is fully synchronized via natural language.

The Survalyzer 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 Survalyzer tools available for CrewAI

When CrewAI connects to Survalyzer through Vinkius, your AI agent gets direct access to every tool listed below — spanning market-research, feedback-management, survey-distribution, 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_and_invite_members

Bulk invite new members

create_member

Add member to panel

get_account_info

Get account profile

get_survey

Get survey details

invite_existing_members

Invite existing members

list_panel_members

List members in panel

list_panels

List member panels

list_samples

List research samples

list_survey_languages

List supported languages

list_survey_layouts

List visual layouts

list_surveys

List all surveys

list_webhooks

List active webhooks

Connect Survalyzer to CrewAI via MCP

Follow these steps to wire Survalyzer 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 Survalyzer

Why Use CrewAI with the Survalyzer MCP Server

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

Survalyzer + CrewAI Use Cases

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

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

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

Example Prompts for Survalyzer in CrewAI

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

"List all my professional surveys in Survalyzer."

"Show me all active surveys with their response rates and completion analytics."

"Generate a detailed report for the Customer Satisfaction Q2 survey with sentiment analysis."

Troubleshooting Survalyzer MCP Server with CrewAI

Common issues when connecting Survalyzer 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.

Survalyzer + CrewAI FAQ

Common questions about integrating Survalyzer 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.