sendbird-mcp

sendbird-mcp

MCP server for Sendbird chat infrastructure, enabling AI agents to provision users, create channels, fetch history, send admin messages, and moderate users via 5 tools.

Category
Visit Server

README

sendbird-mcp

License: MIT Python MCP

MCP server for Sendbird, the chat and messaging infrastructure platform. 5 tools for AI agents to provision chat users, create group channels, fetch channel history, send authoritative admin messages, and moderate disruptive users with temporary bans.

As of May 2026, Sendbird does not ship a standardized open-source MCP server. The only existing community attempt is a gated, proprietary connector hosted via a third-party iPaaS aggregator. This is the production-quality, self-hostable rail for external AI agents (Cursor, Claude Desktop, Hermes, LangChain) to natively manage Sendbird channels.

The 5 tools

Tool Purpose
create_chat_user Provision a new chat user ID and profile
create_group_channel Spin up a new group chat channel for a set of users
fetch_channel_history Read chronological message history of a channel
send_admin_message Inject an authoritative message into a channel
ban_disruptive_user Ban a user from a channel for a set time (moderation)

Install

pip install sendbird-mcp

Configure

export SENDBIRD_APPLICATION_ID="your-sendbird-app-id"
export SENDBIRD_API_TOKEN="your-sendbird-master-api-token"

Get an Application ID and Master API Token in your Sendbird Dashboard under Settings -> Application. The Master API Token is highly privileged (can delete channels and users), keep it server-side only.

Use with Claude Desktop

{
  "mcpServers": {
    "sendbird": {
      "command": "sendbird-mcp",
      "env": {
        "SENDBIRD_APPLICATION_ID": "your-sendbird-app-id",
        "SENDBIRD_API_TOKEN": "your-sendbird-master-api-token"
      }
    }
  }
}

Restart Claude Desktop. The 5 Sendbird tools are now available.

Use case: AI chat operator / moderator

Typical agent flow:

  1. Call create_chat_user(user_id, nickname) to provision a new user joining the app
  2. Call create_group_channel(user_ids, name) to start a private chat
  3. Call fetch_channel_history(channel_url, message_ts) to read context before responding
  4. Call send_admin_message(channel_url, user_id, message) to post a system notice or AI reply
  5. Call ban_disruptive_user(channel_url, user_id, seconds, description) to enforce community guidelines

Architecture

  • Public MIT-licensed wrapper around the Sendbird Platform REST API
  • Async HTTP via httpx
  • pydantic v2 input validation
  • Api-Token header auth (Sendbird's non-Bearer scheme), server-side only
  • Dynamic base URL built from SENDBIRD_APPLICATION_ID
  • Rate-limit aware (429 returns a clean error per Sendbird plan tier)

Security note

The Master API Token has admin-level access to your Sendbird application: it can delete users, delete channels, and post as any user. Vault it strictly in environment variables and never expose it to client-side code or agent context. CORS is not supported on Sendbird Platform endpoints, so all requests must run server-side.

Development

git clone https://github.com/NoBanks/sendbird-mcp.git
cd sendbird-mcp
pip install -e ".[dev]"
pytest

License

MIT. See LICENSE.

Author

Ryan Hammer (NoBanks). Solo founder + engineer. Built this and 9 other MCP servers as part of a sprint to expose AI agent rails for the products and platforms shipping daily.

Open to AI engineering roles, contract or full-time, remote-only.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured