Code Climate MCP Server for AutoGen 8 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Code Climate as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="code_climate_agent",
tools=tools,
system_message=(
"You help users with Code Climate. "
"8 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Code Climate tools. Connect 8 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Code Climate MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 8 tools from Code Climate automatically
Why Use AutoGen with the Code Climate MCP Server
AutoGen provides unique advantages when paired with Code Climate through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Code Climate tools to solve complex tasks
Role-based architecture lets you assign Code Climate tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Code Climate tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Code Climate tool responses in an isolated environment
Code Climate + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Code Climate MCP Server delivers measurable value.
Collaborative analysis: one agent queries Code Climate while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Code Climate, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Code Climate data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Code Climate responses in a sandboxed execution environment
Code Climate MCP Tools for AutoGen (8)
These 8 tools become available when you connect Code Climate to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Code Climate to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Code Climate + AutoGen FAQ
Common questions about integrating Code Climate MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Code Climate 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 Code Climate to AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
