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 Pydantic AI 8 tools — connect in under 2 minutes

Name: Code Climate
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Code Climate through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Code Climate "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Code Climate?"
    )
    print(result.data)

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.

Pydantic AI validates every Code Climate tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Code Climate MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from Code Climate with type-safe schemas

Why Use Pydantic AI with the Code Climate MCP Server

Pydantic AI provides unique advantages when paired with Code Climate through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Code Climate integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Code Climate connection logic from agent behavior for testable, maintainable code

Code Climate + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Code Climate MCP Server delivers measurable value.

Type-safe data pipelines: query Code Climate with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Code Climate tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Code Climate and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Code Climate responses and write comprehensive agent tests

Code Climate MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Code Climate to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Code Climate to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Code Climate + Pydantic AI FAQ

Common questions about integrating Code Climate MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Code Climate MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.