How do I find my Crisp API credentials?

Go to your Crisp dashboard, navigate to the **Marketplace**, create a new plugin, and you will find your Plugin ID and Plugin Key.

What is the Website ID?

The Website ID is a unique UUID found in your **Settings** > **Website Settings** section in Crisp.

Can I retrieve messages from past sessions?

Yes! The `get_messages` tool allows the agent to retrieve the complete transcript for any session ID in your history.

INSTANT PLUG AND PLAY

Crisp MCP Server for CrewAIGive CrewAI instant access to 6 tools to Get Conversation, Get Messages, Get Visitor Profile, and more

Name: Crisp
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 6 Tools Framework

Connect your CrewAI agents to Crisp through Vinkius, pass the Edge URL in the `mcps` parameter and every Crisp 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 Crisp app connector for CrewAI is a standout in the Productivity category — giving your AI agent 6 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="Crisp Specialist",
    goal="Help users interact with Crisp effectively",
    backstory=(
        "You are an expert at leveraging Crisp 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 Crisp "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

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

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* 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 Crisp MCP Server

Connect your Crisp account to any AI agent and take full control of your multi-channel customer support and visitor engagement workflows through natural conversation.

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

Conversation Orchestration — List and manage active chat and email support sessions programmatically, including monitoring unread counts and conversation status in real-time
Automated Messaging — Programmatically dispatch text messages to active sessions to coordinate immediate customer assistance and engagement
Thread Intelligence — Access complete message histories for any session to provide high-fidelity context for your support and marketing responses
Visitor Lifecycle — Retrieve detailed visitor profiles and people records to maintain a perfectly coordinated relationship history
Operational Monitoring — Access real-time website traffic metrics and support volume summaries directly through your agent for instant CX reporting

The Crisp MCP Server exposes 6 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 6 Crisp tools available for CrewAI

When CrewAI connects to Crisp through Vinkius, your AI agent gets direct access to every tool listed below — spanning crisp, live-chat-api, omnichannel-support, 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.

get_conversation

Get conversation details

get_messages

List messages in a conversation

get_visitor_profile

Get visitor profile details

list_conversations

List all website conversations

list_visitors

List all website visitors/people

send_message

Pass data as a JSON string. Send a message to a conversation

Connect Crisp to CrewAI via MCP

Follow these steps to wire Crisp 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 6 tools from Crisp

Why Use CrewAI with the Crisp MCP Server

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

Crisp + CrewAI Use Cases

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

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

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

Example Prompts for Crisp in CrewAI

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

"List all active conversations on my website."

"Show the transcript for chat session 'sess_123'."

"Find the visitor profile for 'jane@example.com'."

Troubleshooting Crisp MCP Server with CrewAI

Common issues when connecting Crisp 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.

Crisp + CrewAI FAQ

Common questions about integrating Crisp 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.