How do I get my CometChat API credentials?

Log in to the CometChat dashboard at app.cometchat.com. Your App ID, Region, and API Key are displayed on the app overview page.

What is the difference between UID and GUID?

UID (User ID) is the unique identifier for a user. GUID (Group ID) is the unique identifier for a group. Both are used to target specific resources in the API.

Can I send files with this integration?

The current version supports text messages. File and media sending may be added in future updates.

CometChat MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: CometChat
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to CometChat through Vinkius, pass the Edge URL in the `mcps` parameter and every CometChat 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="CometChat Specialist",
    goal="Help users interact with CometChat effectively",
    backstory=(
        "You are an expert at leveraging CometChat 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 CometChat "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 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 CometChat MCP Server

Connect your AI assistant to CometChat, the communication platform providing chat, voice, and video capabilities for applications.

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

User Management — List registered users, check online status, and retrieve user profiles.
Group Operations — Create, list, and manage chat groups with different privacy settings.
Message History — Retrieve conversation histories for users or groups and search past messages.

The CometChat MCP Server exposes 10 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 CometChat to CrewAI via MCP

Follow these steps to integrate the CometChat 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 10 tools from CometChat

Why Use CrewAI with the CometChat MCP Server

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

CometChat + CrewAI Use Cases

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

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

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

CometChat MCP Tools for CrewAI (10)

These 10 tools become available when you connect CometChat to CrewAI via MCP:

create_group

Create a new group in CometChat

create_user

Create a new user in CometChat

deactivate_user

Deactivate a user instead of deleting them

delete_user

Permanently delete a user from CometChat

get_group_details

Retrieve details of a specific group

get_user

Retrieve detailed information about a specific user

list_groups

Retrieve a list of groups from CometChat

list_messages

Retrieve chat history messages

list_users

Retrieve a list of users from CometChat

send_message

Send a text message to a user or group

Example Prompts for CometChat in CrewAI

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

"Show me the first 20 users in CometChat."

"Create a public group named 'Marketing Team' with GUID 'marketing-team'."

"Retrieve the conversation history between users 'alice' and 'bob'."

Troubleshooting CometChat MCP Server with CrewAI

Common issues when connecting CometChat 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.

CometChat + CrewAI FAQ

Common questions about integrating CometChat 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.