Zulip MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Zulip through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Zulip Assistant",
instructions=(
"You help users interact with Zulip. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Zulip"
)
print(result.final_output)
asyncio.run(main())
* 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
About Zulip MCP Server
Connect Zulip to any AI agent via MCP.
How to Connect Zulip to OpenAI Agents SDK via MCP
Follow these steps to integrate the Zulip MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 9 tools from Zulip
Why Use OpenAI Agents SDK with the Zulip MCP Server
OpenAI Agents SDK provides unique advantages when paired with Zulip through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Zulip + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Zulip MCP Server delivers measurable value.
Automated workflows: build agents that query Zulip, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Zulip, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Zulip tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Zulip to resolve tickets, look up records, and update statuses without human intervention
Zulip MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Zulip to OpenAI Agents SDK via MCP:
zulip_add_reaction
Add an emoji reaction to a message
zulip_get_messages
Use anchor "newest" for latest messages. Retrieve message history from Zulip
zulip_get_own_profile
Get the authenticated bot/user profile
zulip_get_stream_topics
List topics within a specific Zulip stream
zulip_get_streams
List all available Zulip streams (channels)
zulip_get_users
List all users in the Zulip organisation
zulip_send_message
Use type "stream" for channels or "direct" for DMs. Send a message to a stream or direct to a user
zulip_set_presence
Update the user presence status
zulip_subscribe_to_stream
Subscribe the authenticated user to a stream
Troubleshooting Zulip MCP Server with OpenAI Agents SDK
Common issues when connecting Zulip to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Zulip + OpenAI Agents SDK FAQ
Common questions about integrating Zulip MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Zulip with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Zulip to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.