Bring In App Chat
to Google ADK
Learn how to connect Sendbird to Google ADK and start using 18 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Sendbird MCP Server?
Connect your Sendbird application to any AI agent and take full control of your chat ecosystem through natural conversation.
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.
How it works
- Subscribe to this server
- Enter your Sendbird App ID and Master API Token
- Start managing your messaging infrastructure from Claude, Cursor, or any MCP-compatible client
No more navigating complex dashboards to moderate a user or check channel status. Your AI acts as a real-time chat administrator.
Who is this for?
- Support Leads — quickly moderate users, check channel history, and manage support bots without leaving the console.
- Developers — test channel creation, user provisioning, and bot messaging directly from the code editor.
- Community Managers — oversee large open channels and enforce safety rules through simple natural language commands.
Built-in capabilities (18)
Ban a user from a channel
Block a user
Create a bot
Create a group channel
Create an open channel
Create a new Sendbird user
Delete an open channel
Freeze a channel
Get an open channel by URL
Invite users to a group channel
Join a group channel
Leave a group channel
List open channels
List Sendbird users
Mute a user in a channel
Send a message via bot
Send a message to a channel
Update an open channel
Why Google ADK?
Google ADK natively supports Sendbird as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 18 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Sendbird
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Sendbird tools with BigQuery, Vertex AI, and Cloud Functions
Sendbird in Google ADK
Sendbird and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Sendbird to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Sendbird in Google ADK
The Sendbird 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. All 18 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Sendbird for Google ADK
Every tool call from Google ADK to the Sendbird MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I create a bot to send automated messages in a channel?
Yes! You can use the create_bot tool to register a new bot and then use send_bot_message to trigger automated interactions within your chat channels.
How do I handle disruptive users who violate community rules?
The server provides several moderation tools: mute_user to silence them, block_user to prevent interaction, and ban_user to remove them from channels entirely.
Is it possible to manage large-scale public chat rooms?
Absolutely. Use create_open_channel to build public channels that support millions of users, and list_open_channels to keep track of your active public environments.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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