Sendbird MCP Server for CrewAIGive CrewAI instant access to 18 tools to Ban User, Block User, Create Bot, and more

Name: Sendbird
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Sendbird MCP Server for CrewAI is a standout in the Communication Messaging category — giving your AI agent 18 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Sendbird Specialist",
    goal="Help users interact with Sendbird effectively",
    backstory=(
        "You are an expert at leveraging Sendbird 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 Sendbird "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 18 available tools "
        "and what they can do."
    ),
)

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

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Ed25519Audit chain

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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 Sendbird MCP Server

Connect your Sendbird application to any AI agent and take full control of your chat ecosystem through natural conversation.

When paired with CrewAI, Sendbird becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Sendbird 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 — Create new users, list existing ones, and manage profiles or access tokens for your chat application.
Channel Orchestration — Create and manage Open Channels for massive public scale or Group Channels for private, distinct conversations.
Moderation & Safety — Maintain community standards by blocking, muting, or banning users, and freezing channels during incidents.
Automation & Bots — Create and manage bots to send automated messages and interact with users programmatically.
Channel Lifecycle — Update channel metadata, join or leave group chats, and invite new members seamlessly.

The Sendbird MCP Server exposes 18 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 18 Sendbird tools available for CrewAI

When CrewAI connects to Sendbird through Vinkius, your AI agent gets direct access to every tool listed below — spanning in-app-chat, messaging-api, user-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

ban

Ban user on Sendbird

Ban a user from a channel

block

Block user on Sendbird

Block a user

create

Create bot on Sendbird

Create a bot

create

Create group channel on Sendbird

Create a group channel

create

Create open channel on Sendbird

Create an open channel

create

Create user on Sendbird

Create a new Sendbird user

delete

Delete open channel on Sendbird

Delete an open channel

freeze

Freeze channel on Sendbird

Freeze a channel

get

Get open channel on Sendbird

Get an open channel by URL

invite

Invite group channel on Sendbird

Invite users to a group channel

join

Join group channel on Sendbird

Join a group channel

leave

Leave group channel on Sendbird

Leave a group channel

list

List open channels on Sendbird

List open channels

list

List users on Sendbird

List Sendbird users

mute

Mute user on Sendbird

Mute a user in a channel

send

Send bot message on Sendbird

Send a message via bot

send

Send message on Sendbird

Send a message to a channel

update

Update open channel on Sendbird

Update an open channel

Connect Sendbird to CrewAI via MCP

Follow these steps to wire Sendbird into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind 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 18 tools from Sendbird

Why Use CrewAI with the Sendbird MCP Server

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

Sendbird + CrewAI Use Cases

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

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

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

Example Prompts for Sendbird in CrewAI

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

"List the first 10 users in our Sendbird application."

"Create a new open channel called 'Global-Lounge' for our community."

"Freeze the channel at URL 'sendbird_open_channel_123' to stop all messaging."

Troubleshooting Sendbird MCP Server with CrewAI

Common issues when connecting Sendbird to CrewAI through 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.

Sendbird + CrewAI FAQ

Common questions about integrating Sendbird 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.

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