
ZulipChat MCP Server
io.github.akougkasPublished by GitHub account akougkasv0.4.2Updated Oct 24, 2026
ZulipChat MCP: Connect AI to Zulip with 60+ tools for messaging, streams, events, and analytics
Overview
Connects an AI assistant to a Zulip workspace to read, search, send, and react to messages and manage agent sessions.
- What you can do
- Bridges MCP-compatible assistants to a Zulip server with 20 core tools by default and 60 in extended mode. Core tools cover sending, editing, reading, and reacting to messages; searching history; listing streams and topics; resolving users; and binding agent sessions to Zulip topics with in-topic approval requests. Extended mode adds scheduled messages, drafts, event queues, file uploads, presence, user groups, and analytics. Optional LLM analytics use a server-side Anthropic provider.
- When to use it
- Useful when an assistant needs to work inside a Zulip organization: catching up on streams, sending announcements or DMs, searching conversation history, or running long-lived agent sessions that receive mentions and request approvals in a topic.
- Requirements
- Runs locally over stdio via the PyPI package zulipchat-mcp, typically launched with uvx. Needs a Zulip API key and account email, supplied through a zuliprc file or the ZULIP_API_KEY, ZULIP_EMAIL, and ZULIP_SITE environment variables. Optional HTTP transport requires a bearer token; optional LLM analytics require ANTHROPIC_API_KEY.
Installation
In SourceWeft
- Open ZulipChat MCP Server in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
ZulipChat MCP Server
Model Context Protocol server for Zulip Chat. Connect Claude Code, Codex, Clio Coder, OpenCode, Copilot, Antigravity CLI, Gemini CLI, and other MCP clients to Zulip.
[PyPI] [CI] [Publish] [Coverage Gate] [Downloads] [GitHub stars] [Python] [License] [MCP]
Quick Start · Setup Wizard · Integrations · Two-Tier Tools · Contributing
Quick Start
Configure this command in your MCP client to let the assistant read and write Zulip messages with the configured account.
Need a zuliprc? Zulip Settings > Personal > Account & privacy > API key — download the file, save it as ~/.zuliprc.
Interactive onboarding:
What This Does
ZulipChat MCP bridges any MCP-compatible AI assistant (Claude Code, Gemini CLI, Cursor, Windsurf, etc.) to your Zulip workspace. The assistant can:
- Send and read messages — stream messages, DMs, replies, reactions
- Search conversation history — full-text search with filters for sender, stream, time range
- Resolve people by name — verify a unique recipient before sending; ambiguous names need clarification
- Switch identities — post as yourself or as a bot, in the same session
- Monitor activity — search recent messages, get stream info, check who's online
- Bind sessions to Zulip topics — give long-running agent sessions a stable control topic
- Receive ordinary bot mentions — an event-fed local inbox that your own host adapter polls to wake an agent and reply in the source topic, without
/replyfor conversation. The server is the transport; it does not launch or supervise coding agents - Reuse dated snapshots — short-lived message caches and rate-aware request admission reduce repeated API reads
- Request approvals in-topic — owner replies with
/approve REQUEST_IDor/deny REQUEST_IDin the session topic; each decision names the request it answers - Load Agent Skills — four packaged instructions for messaging, session control, notifications, and bounded work loops, available as local files and MCP Resources
- Export agent packages — native host configuration and skills, Claude's hook/plugin assets, or an Agent Plugins 1.0.0 package
Agent setup
Exports support claude-code, codex, opencode, copilot, vscode,
antigravity-cli, clio-coder, and generic. Add --mode plugin for a package.
For several Zulip organizations, export once per organization with
--server-id zulipchat-<org>; exports merge into one host configuration.
Account state lives under ~/.local/state/zulipchat-mcp/. Host trust remains explicit;
Clio configures MCP execution separately from plugin content. See the
capability matrix,
Clio guide, and
complete workflow.
For read-only access, add --tool-profile read-only: discovery and execution
both expose nine core reads or 23 extended reads. The default full profile
retains 20/60 tools. See API coverage and efficiency
for cache freshness, rate limits and the boundary between message transport and
host execution. The live Luna experiment
records normal mention-to-bot replies from a real Clio TUI driven by a private,
unshipped host adapter. Other hosts were tested through exported configuration
and fake-credential checks, not live sessions.
Two-Tier Tool Architecture
v0.6.0 introduced a deliberate split: 20 core tools by default, 60 tools when you need more.
Core Mode (default)
The 20 tools that cover most daily use:
Why 20 instead of 60? Fewer tools means faster tool selection, lower token overhead, and less confusion for the AI. Most tasks — sending messages, searching, reacting, and binding an agent session to Zulip — only need the core set.
Extended Mode
Need scheduled messages, event queues, file uploads, analytics, or advanced search?
Or via environment variable:
Extended mode adds: toggle_reaction, cross_post_message, advanced_search, construct_narrow, get_scheduled_messages, manage_scheduled_message, get_drafts, create_draft, edit_draft, delete_draft, register_events, get_events, listen_events, upload_file, manage_files, get_daily_summary, manage_user_mute, get_user, get_presence, get_user_groups, and more.
Installation
Full per-client setup guide: docs/integrations/README.md
Claude Code
With dual identity (you + a bot):
Optional Claude hook bridge for lifecycle and approval routing:
Optional Claude package export for project-local hooks, skills, and subagents:
Gemini CLI
Add to ~/.gemini/settings.json under mcpServers:
Claude Desktop / Cursor / Any MCP Client
Add to your MCP configuration:
Configuration Options
Remote HTTP Transport
ZulipChat MCP supports stateless HTTP deployments under the MCP 2026-07-28 protocol:
Generate client integration snippets for remote HTTP connections:
HTTP startup requires a bearer token for non-loopback binds and validates Host and Origin headers. Configure --allowed-host for the hostname used by clients or a reverse proxy; terminate TLS at the proxy for remote connections. A token grants access to the configured Zulip account: deploy a separate instance per trusted account, rather than sharing it across unrelated users.
HTTP tools reject server-local file paths, outbound event callbacks, and switch_identity. Upload text with file_content or binary bytes with file_content_base64; download without download_path to obtain a URL. Use stdio for local file operations and runtime identity switching. Attachment deletion requires --unsafe.
Persistent state defaults to an account-scoped directory. An explicitly selected
ZULIPCHAT_DB_PATH is associated with the normalized realm and user/bot
principals; a different account cannot reuse it. Legacy state is left intact and
requires deliberate association. See database migration.
Agent sessions, approvals, listener cursors, and default background-task storage remain local state. Use a single instance for these workflows. Separate DuckDB paths avoid writer conflicts but do not share session data; ordinary round-robin routing across such replicas is not supported. Legacy HTTP clients may also retain transport sessions.
AI Analytics & LLM Provider
AI-powered analytics tools (analyze_stream_with_llm, analyze_team_activity_with_llm, intelligent_report_generator) execute using a server-side Anthropic LLM provider:
- Set
ANTHROPIC_API_KEYon the server process for LLM generation. - Optionally set
ANTHROPIC_MODELto override the default model (claude-opus-5). - Without an API key, analytics tools return structured data summaries with
llm_unavailable: trueso your client assistant can analyze the data directly.
More clients
Dedicated setup pages:
Dual Identity
Configure both a user and a bot zuliprc to let your assistant switch between identities mid-session:
The assistant posts as you by default. Call switch_identity to post as the bot — useful for automated notifications, agent-to-agent communication, or keeping human vs. bot messages distinct.
Real-World Examples
"Catch me up on what happened in #engineering today"
→ Assistant calls search_messages with stream + time filter, summarizes the thread.
"Tell the team we're deploying at 3pm"
→ Assistant calls send_message to #engineering with the announcement.
"Who sent that message about the API migration?"
→ Assistant calls search_messages with keywords, returns sender and context.
"React with :thumbs_up: to Sarah's last message"
→ Assistant calls resolve_user ("Sarah"), search_messages (sender), then add_reaction.
"DM Jaime that the PR is ready"
→ Assistant calls teleport_chat with fuzzy name resolution — no email needed.
Development
Run checks:
For packaging, dependency, FastMCP, or startup changes, run the release smoke:
See CONTRIBUTING.md for the full guide, and CLAUDE.md / AGENTS.md for AI agent instructions.
Architecture
Built on FastMCP with async-first design, DuckDB for agent state persistence, and smart user/stream caching for fast fuzzy resolution.
Privacy
- No data collection — nothing leaves your machine except Zulip API calls
- No telemetry — zero analytics, tracking, or usage reporting
- Local execution — all processing happens on your hardware
- Credentials stay local — API keys are never logged or transmitted beyond your Zulip server
Full policy: PRIVACY.md
License
MIT — See LICENSE
Links
- Documentation Index
- Support
- Security Policy
- Zulip API Documentation
- Model Context Protocol
- Report Issues
- Discussions
Source: README.md at commit 31d4611
Tools
0Version history
1- v0.4.2LatestSep 16, 2026
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