Can I see the maintainability rating for a specific repository?

Yes! Use the `get_repository_code_quality` tool with the unique repository ID. The agent will return the current maintainability grade (A-F) and other core health metrics provided by Code Climate.

How do I check the test coverage percentage for a repository?

Use the `list_repository_test_reports` tool. Your agent will fetch all test coverage reports associated with the repository, showing the coverage percentage for the most recent runs.

Where do I find my Code Climate API Token?

Log in to Code Climate, click on your avatar in the top right, go to **User Settings**, and select **Personal API Tokens**. You can generate and copy your token from that section.

Code Climate MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: Code Climate
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Code Climate through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="Code Climate Assistant",
            instructions=(
                "You help users interact with Code Climate. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Code Climate"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Code Climate MCP Server

Connect your Code Climate account to any AI agent and take full control of your automated code reviews and engineering intelligence through natural conversation. Streamline how you monitor maintainability and test coverage across your repositories natively.

The OpenAI Agents SDK auto-discovers all 8 tools from Code Climate through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Code Climate, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Repository Oversight — List and retrieve details for all repositories analyzed in Code Climate, including health status natively
Snapshot Intelligence — Access current and historical analysis snapshots to understand how code quality evolves flawlessly
Issue Management — List all code issues identified in a specific snapshot to prioritize technical debt securely
Coverage Tracking — Access and monitor test coverage reports to ensure high-quality software delivery flawlessly
Webhook Logistics — Monitor configured webhooks for real-time quality and analysis notifications flawlessly
Account Visibility — Retrieve information about your authenticated user profile and organizational metadata directly within your workspace

The Code Climate MCP Server exposes 8 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 Code Climate to OpenAI Agents SDK via MCP

Follow these steps to integrate the Code Climate 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 8 tools from Code Climate

Why Use OpenAI Agents SDK with the Code Climate MCP Server

OpenAI Agents SDK provides unique advantages when paired with Code Climate 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

Code Climate + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Code Climate MCP Server delivers measurable value.

Automated workflows: build agents that query Code Climate, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Code Climate, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Code Climate tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Code Climate to resolve tickets, look up records, and update statuses without human intervention

Code Climate MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Code Climate to OpenAI Agents SDK via MCP:

get_my_codeclimate_profile

Retrieve information about the authenticated user

get_repository_code_quality

Get detailed quality information for a specific repository

get_snapshot_quality_details

Get detailed information for a specific analysis snapshot

list_codeclimate_repositories

List all repositories analyzed in Code Climate

list_codeclimate_webhooks

List all configured webhooks for a specific repository

list_repository_snapshots

List all analysis snapshots for a specific repository

list_repository_test_reports

List all test coverage reports for a repository

list_snapshot_code_issues

List all code issues identified in a specific snapshot

Example Prompts for Code Climate in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Code Climate immediately.

"List all my repositories in Code Climate."

"What is the current test coverage for the 'core-api' repository?"

"Show me the last 5 analysis snapshots for 'frontend-app'."

Troubleshooting Code Climate MCP Server with OpenAI Agents SDK

Common issues when connecting Code Climate to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Code Climate + OpenAI Agents SDK FAQ

Common questions about integrating Code Climate MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.