Bring In App Chat
to LangChain
Learn how to connect Sendbird to LangChain 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 LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Sendbird through native MCP adapters. Connect 18 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Sendbird MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Sendbird queries for multi-turn workflows
Sendbird in LangChain
Sendbird and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Sendbird to LangChain 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 LangChain
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 LangChain 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 LangChain
Every tool call from LangChain 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 LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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