Bring Nps Tracking
to CrewAI
Create your Vinkius account to connect AskNicely to CrewAI and start using all 5 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the AskNicely MCP Server?
The AskNicely MCP Server provides a powerful natural language interface to your customer experience platform. Empower your AI agent to monitor your Net Promoter Score (NPS), retrieve real-time user feedback, and manage your contact survey workflows seamlessly.
Key Capabilities
- NPS Monitoring — Retrieve your aggregate NPS statistics and track changes in customer sentiment over time.
- Response Analysis — Access detailed survey responses, including scores and customer comments, to identify pain points and success stories.
- Contact Management — List and audit your contact database, including when users were last surveyed.
- Survey Automation — Trigger new surveys for specific customers directly from your chat interface to capture immediate feedback.
- Real-time Statistics — Get instant summaries of your customer experience metrics without manual dashboard exports.
- Secure API Access — Uses your AskNicely API Key for safe and authenticated communication.
Who is this for?
- Customer Success Managers — Quickly audit recent feedback from specific accounts or segments.
- Product Managers — Use AI-assisted summaries to understand user sentiment regarding new features or updates.
- Marketing Teams — Identify promoters for case studies and testimonials using natural language queries.
Built-in capabilities (5)
Verify AskNicely account connection
Get aggregate NPS statistics and summary
List contacts in your AskNicely account
List NPS survey responses from AskNicely
Add a contact and trigger a survey immediately
Why CrewAI?
When paired with CrewAI, AskNicely becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call AskNicely tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
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
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter 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
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
AskNicely in CrewAI
Why run AskNicely with Vinkius?
The AskNicely connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 5 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect AskNicely using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
AskNicely and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect AskNicely to CrewAI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
AskNicely for CrewAI
Every request between CrewAI and AskNicely is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I find my AskNicely API Key?
Log in to your AskNicely account, go to Settings > API, and you will find your API Key listed there. Copy it and paste it below.
What is the 'domain' in AskNicely?
The domain is your AskNicely subdomain (e.g., if your URL is mycompany.asknice.ly, your domain is mycompany).
Can I trigger a survey for a new customer?
Yes, use the trigger_survey tool and provide the customer's name and email. This will add them to your contacts and send the survey immediately.
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.
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.
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