CodeRabbit 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 CodeRabbit 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="CodeRabbit Assistant",
instructions=(
"You help users interact with CodeRabbit. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from CodeRabbit"
)
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 CodeRabbit MCP Server
Connect your CodeRabbit organization to any AI agent and take full control of your AI-powered code review operations through natural conversation.
The OpenAI Agents SDK auto-discovers all 9 tools from CodeRabbit through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries CodeRabbit, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- User Management — List all organization members, filter by seat assignment or role, and inspect individual profiles
- Seat Control — Bulk assign or unassign CodeRabbit seats to enable or disable AI code reviews for team members
- Role Administration — Promote members to admin or demote admins to member role in bulk operations
- PR Review Metrics — Retrieve complexity scores, review times, and comment breakdowns for merged pull requests across any date range
- Compliance Audit Logs — Access tamper-resistant records of administrative actions for SIEM integration and compliance reporting
- Configuration — View and update seat assignment modes (automatic vs. manual)
The CodeRabbit MCP Server exposes 9 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect CodeRabbit to OpenAI Agents SDK via MCP
Follow these steps to integrate the CodeRabbit 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 CodeRabbit
Why Use OpenAI Agents SDK with the CodeRabbit MCP Server
OpenAI Agents SDK provides unique advantages when paired with CodeRabbit 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
CodeRabbit + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the CodeRabbit MCP Server delivers measurable value.
Automated workflows: build agents that query CodeRabbit, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries CodeRabbit, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through CodeRabbit tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query CodeRabbit to resolve tickets, look up records, and update statuses without human intervention
CodeRabbit MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect CodeRabbit to OpenAI Agents SDK via MCP:
assign_seats
Up to 500 user IDs per request. Assign CodeRabbit seats to users
demote_users
Demote users from admin to member role
get_audit_logs
Ideal for compliance reporting. Retrieve organization audit logs
get_metrics
Useful for engineering productivity analysis. Retrieve PR review metrics for a date range
get_seat_mode
Get the current seat assignment mode
list_users
Optionally filter by seat assignment status or role. List all users in the CodeRabbit organization
promote_users
Promote users to admin role
unassign_seats
Does not delete user accounts. Remove CodeRabbit seats from users
update_seat_mode
Requires Enterprise plan. Update the seat assignment mode
Example Prompts for CodeRabbit in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with CodeRabbit immediately.
"Show me all team members who don't have a CodeRabbit seat assigned."
"What were our code review metrics for March 2026?"
"Show me the audit trail of admin actions from last week."
Troubleshooting CodeRabbit MCP Server with OpenAI Agents SDK
Common issues when connecting CodeRabbit to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
CodeRabbit + OpenAI Agents SDK FAQ
Common questions about integrating CodeRabbit 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 CodeRabbit with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 CodeRabbit to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.