Zulipchat MCP
The ZulipChat MCP Server is a protocol service that connects AI assistants to the Zulip chat platform. It supports multiple MCP clients such as Claude and Gemini, provides core functions such as message sending and receiving, search, and user management, and uses a two - tier tool architecture to optimize the AI experience.
rating : 2.5 points
downloads : 6.3K
What is the ZulipChat MCP Server?
The ZulipChat MCP Server is a bridge connecting AI assistants and the Zulip team chat platform. It allows you to send messages, search conversations, reply to messages, add emoji reactions, etc. directly in Zulip through AI tools that support the MCP protocol, such as Claude, Gemini, and Cursor. In simple terms, it makes your AI assistant an intelligent assistant for Zulip.How to use the ZulipChat MCP Server?
It's very simple to use: 1) Install the Python package; 2) Configure your Zulip API key; 3) Enable the MCP server in the AI tool. After that, you can let the AI assistant handle Zulip messages through natural language, such as 'View today's messages in the #engineering channel' or 'Send a private message to Jaime saying that the PR is ready'.Applicable scenarios
Suitable for scenarios that require AI-assisted team communication: quickly view unread messages, automatically summarize channel discussions, intelligently search historical conversations, send timed notifications, forward important information across channels, automate daily communication tasks, etc.Main features
Message sending and receiving
AI assistants can send messages to any channel or private message, edit sent messages, read message content, and add emoji reactions. Supports rich text format and file uploads.
Intelligent search
Full-text search of Zulip historical messages, supporting filtering by sender, channel, time range, and keywords. AI can understand natural language queries and return relevant conversations.
Dual identity
Supports configuring both personal and bot accounts simultaneously. AI can switch identities to send messages in the same session, suitable for different scenarios.
Intelligent user identification
AI can identify users by name, nickname, or partial name without having to remember the full email address. For example, 'Send a message to Jaime' can find the correct user.
Two-tier tool architecture
By default, 19 core tools are provided to cover 95% of daily needs. An optional extended mode provides more than 55 advanced tools. Balances functional integrity and AI decision-making efficiency.
Privacy protection
All data processing is done locally. No user data is collected, there is no telemetry tracking, and the API key is only used for communication with your Zulip server.
Advantages
Seamless integration: Connects mainstream AI assistants and the Zulip platform without complex configuration
Intelligent and natural: AI understands natural language instructions without having to remember complex commands
Dual identity: Supports switching between personal and bot accounts to flexibly handle different scenarios
Privacy and security: Runs completely locally, and data does not leave the user's device
Performance optimization: The two-tier tool architecture avoids AI decision-making overload and provides a fast response
Limitations
Depends on the Zulip platform: Only applicable to Zulip users and does not support other chat tools
Requires API access: Requires API access to the Zulip server
AI understanding limitations: Depends on the AI model's ability to understand natural language
Configuration requirements: Requires basic command-line operation knowledge for initial setup
How to use
Install ZulipChat MCP
Install the server using a Python package manager. It is recommended to use uv (a modern Python package manager) or pip.
Get the Zulip API key
Log in to the Zulip web version, go to Settings > Personal > Account and Privacy > API Key, and download the zuliprc configuration file.
Configure the AI client
According to the AI tool you are using (Claude Desktop, Cursor, Gemini CLI, etc.), add the ZulipChat server to the MCP configuration.
Start using
Restart the AI client. Now you can let the AI assistant handle Zulip messages through natural language.
Usage examples
Quickly understand team dynamics
Just back at work and want to quickly understand the team's discussions during your absence.
Intelligent message sending
Need to notify the team about the deployment plan, but not sure who is online or how to best convey the information.
Historical information retrieval
Remember that someone discussed API migration last week, but can't find the specific messages and decisions.
Automated daily communication
Need to send the same status updates or notifications every day and want to automate this process.
Frequently Asked Questions
Do I need programming knowledge to use this tool?
Is this tool safe? Will my Zulip messages be sent to third parties?
Which AI clients are supported?
What is the difference between the core mode and the extended mode?
Can I use it if my Zulip server is self - hosted?
Will the AI assistant send messages on my behalf?
Related resources
GitHub repository
Source code, issue tracking, contribution guidelines
PyPI package page
Python package release page, version history
Zulip API documentation
Zulip official API reference documentation
Model Context Protocol official website
MCP protocol official documentation and specifications
Integration guide
Detailed configuration guide for each AI client
Privacy policy
Complete privacy protection policy description

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