# How to integrate Codacy MCP with Autogen ```json { "title": "How to integrate Codacy MCP with Autogen", "toolkit": "Codacy", "toolkit_slug": "codacy", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/codacy/framework/autogen", "markdown_url": "https://composio.dev/toolkits/codacy/framework/autogen.md", "updated_at": "2026-05-12T10:06:58.410Z" } ``` ## Introduction This guide walks you through connecting Codacy to AutoGen using the Composio tool router. By the end, you'll have a working Codacy agent that can list all projects in your codacy account, show details for your active codacy organizations, enumerate repositories for a specific organization through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Codacy account through Composio's Codacy MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Codacy with - [OpenAI Agents SDK](https://composio.dev/toolkits/codacy/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/codacy/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/codacy/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/codacy/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/codacy/framework/codex) - [OpenClaw](https://composio.dev/toolkits/codacy/framework/openclaw) - [Hermes](https://composio.dev/toolkits/codacy/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/codacy/framework/cli) - [Google ADK](https://composio.dev/toolkits/codacy/framework/google-adk) - [LangChain](https://composio.dev/toolkits/codacy/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/codacy/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/codacy/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/codacy/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/codacy/framework/crew-ai) ## TL;DR Here's what you'll learn: - Get and set up your OpenAI and Composio API keys - Install the required dependencies for Autogen and Composio - Initialize Composio and create a Tool Router session for Codacy - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Codacy tools - Run a live chat loop where you ask the agent to perform Codacy operations ## What is AutoGen? Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows. Key features include: - Multi-Agent Systems: Build collaborative agent workflows - MCP Workbench: Native support for Model Context Protocol tools - Streaming HTTP: Connect to external services through streamable HTTP - AssistantAgent: Pre-built agent class for tool-using assistants ## What is the Codacy MCP server, and what's possible with it? The Codacy MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Codacy account. It provides structured and secure access to your code quality dashboard, so your agent can perform actions like listing projects, managing API tokens, checking organization repositories, and retrieving user account details on your behalf. - Automated project listing and discovery: Instantly fetch a comprehensive list of all projects accessible to your Codacy account for quick overview and navigation. - Organization and repository management: Ask your agent to enumerate all organizations you belong to and drill into the repositories associated with each, helping you keep track of where your code lives. - API token lifecycle management: Effortlessly create or delete API tokens as needed, making it easy to manage secure integrations and access controls without leaving your flow. - User account insights and verification: Retrieve account details to confirm authentication, audit user info, or set up new integrations with confidence. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `CODACY_CREATE_API_TOKEN` | Create API Token | Creates a new account API token for the authenticated user. The token inherits all permissions from the account owner and provides access to the same organizations and repositories. Note: The token is created with default settings. To configure expiration dates or other settings, use the Codacy web interface. The newly created token can be used to authenticate API requests by including it in the 'api-token' header. | | `CODACY_DELETE_API_TOKEN` | Delete API Token | Tool to delete a specific API token from the authenticated user's account. Use after confirming the token ID. | | `CODACY_GET_ACCOUNT_DETAILS` | Get Account Details | Tool to retrieve details of the authenticated user's account. Use when confirming authentication before user-level operations. | | `CODACY_GET_CONFIGURATION_STATUS` | Get Configuration Status | Tool to retrieve the current configuration status of the Codacy system. Use when checking system setup completion or first-time configuration status. | | `CODACY_GET_HEALTH` | Get Health | Tool to check the health status of the Codacy API. Use when verifying API connectivity and service availability. | | `CODACY_GET_ORGANIZATIONS_REPOSITORIES_SETTINGS_LANGUAGES` | Get Organizations Repositories Settings Languages | Tool to get the list of all languages with their extensions and enabled status for a repository. Use when you need to understand which programming languages are detected and enabled for analysis in a specific Codacy repository. | | `CODACY_GET_TOOL_PATTERN` | Get Tool Pattern | Tool to retrieve the definition of a specific pattern for a given tool. Use when you need to get detailed information about a specific code pattern including its description, examples, parameters, and configuration. | | `CODACY_GET_USER_ORGANIZATIONS` | Get User Organizations | Retrieves all organizations the authenticated user belongs to for a specific Git provider. Returns organization details including name, provider, avatar, access permissions (DAST, SCA), and join status. Use this to discover which organizations a user can access on Codacy for a given Git provider (GitHub, GitLab, or Bitbucket). Requires the user to have connected the specified provider to their Codacy account. | | `CODACY_GET_VERSION` | Get Version | Tool to retrieve the version of the Codacy installation. Use when checking the Codacy API version for compatibility or debugging purposes. | | `CODACY_LIST_ANALYSIS_ORGANIZATIONS_REPOSITORIES` | List Analysis Organizations Repositories | Tool to list organization repositories with analysis information for the authenticated user. Use when you need to retrieve repositories from a specific organization with their analysis status. For Bitbucket, ensure you URL encode the cursor before using it in subsequent API calls. | | `CODACY_LIST_DUPLICATION_TOOLS` | List Duplication Tools | Tool to retrieve the list of duplication detection tools available in Codacy. Use when you need to identify which tools can analyze code duplication for different programming languages. | | `CODACY_LIST_LANGUAGES_TOOLS` | List Languages and Tools | Tool to retrieve the list of languages supported by available tools. Use when you need to determine which programming languages are supported by Codacy's analysis tools. | | `CODACY_LIST_LOGIN_INTEGRATIONS` | List Login Integrations | Tool to list configured login providers on Codacy's platform. Use when you need to discover available authentication methods for Codacy login. | | `CODACY_LIST_METRICS_TOOLS` | List Metrics Tools | Tool to retrieve the list of metrics tools available in Codacy. Use when you need to discover which tools calculate metrics on projects and which languages they support. | | `CODACY_LIST_PROJECTS` | List Projects | Tool to list all projects accessible to the authenticated user. Use when you need a list of repositories after confirming API token validity. | | `CODACY_LIST_PROVIDER_INTEGRATIONS` | List Provider Integrations | Tool to list provider integrations existing on Codacy's platform. Use when you need to discover available Git providers that can be integrated with Codacy for authentication and repository management. | | `CODACY_LIST_TOOLS` | List Tools | Tool to retrieve the list of analysis tools available in Codacy. Use when you need to identify which code analysis tools are available and which programming languages they support. | | `CODACY_LIST_TOOLS_PATTERNS` | List Tools Patterns | Tool to retrieve the list of patterns for a specific tool. Returns code patterns that the tool can use to find issues, with pagination support. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Codacy MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Codacy. Instead of manually wiring Codacy APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites You will need: - A Composio API key - An OpenAI API key (used by Autogen's OpenAIChatCompletionClient) - A Codacy account you can connect to Composio - Some basic familiarity with Autogen and Python async ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider. - Keep the API key safe. Composio API Key - Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install dependencies Install Composio, Autogen extensions, and dotenv. What's happening: - composio connects your agent to Codacy via MCP - autogen-agentchat provides the AssistantAgent class - autogen-ext-openai provides the OpenAI model client - autogen-ext-tools provides MCP workbench support ```bash pip install composio python-dotenv pip install autogen-agentchat autogen-ext-openai autogen-ext-tools ``` ### 3. Set up environment variables Create a .env file in your project folder. What's happening: - COMPOSIO_API_KEY is required to talk to Composio - OPENAI_API_KEY is used by Autogen's OpenAI client - USER_ID is how Composio identifies which user's Codacy connections to use ```bash COMPOSIO_API_KEY=your-composio-api-key OPENAI_API_KEY=your-openai-api-key USER_ID=your-user-identifier@example.com ``` ### 4. Import dependencies and create Tool Router session What's happening: - load_dotenv() reads your .env file - Composio(api_key=...) initializes the SDK - create(...) creates a Tool Router session that exposes Codacy tools - session.mcp.url is the MCP endpoint that Autogen will connect to ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from autogen_agentchat.agents import AssistantAgent from autogen_ext.models.openai import OpenAIChatCompletionClient from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams load_dotenv() async def main(): # Initialize Composio and create a Codacy session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["codacy"] ) url = session.mcp.url ``` ### 5. Configure MCP parameters for Autogen Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for. What's happening: - url points to the Tool Router MCP endpoint from Composio - timeout is the HTTP timeout for requests - sse_read_timeout controls how long to wait when streaming responses - terminate_on_close=True cleans up the MCP server process when the workbench is closed ```python # Configure MCP server parameters for Streamable HTTP server_params = StreamableHttpServerParams( url=url, timeout=30.0, sse_read_timeout=300.0, terminate_on_close=True, headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")} ) ``` ### 6. Create the model client and agent What's happening: - OpenAIChatCompletionClient wraps the OpenAI model for Autogen - McpWorkbench connects the agent to the MCP tools - AssistantAgent is configured with the Codacy tools from the workbench ```python # Create model client model_client = OpenAIChatCompletionClient( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY") ) # Use McpWorkbench as context manager async with McpWorkbench(server_params) as workbench: # Create Codacy assistant agent with MCP tools agent = AssistantAgent( name="codacy_assistant", description="An AI assistant that helps with Codacy operations.", model_client=model_client, workbench=workbench, model_client_stream=True, max_tool_iterations=10 ) ``` ### 7. Run the interactive chat loop What's happening: - The script prompts you in a loop with You: - Autogen passes your input to the model, which decides which Codacy tools to call via MCP - agent.run_stream(...) yields streaming messages as the agent thinks and calls tools - Typing exit, quit, or bye ends the loop ```python print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Codacy related question or task to the agent.\n") # Conversation loop while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n") # Run the agent with streaming try: response_text = "" async for message in agent.run_stream(task=user_input): if hasattr(message, "content") and message.content: response_text = message.content # Print the final response if response_text: print(f"Agent: {response_text}\n") else: print("Agent: I encountered an issue processing your request.\n") except Exception as e: print(f"Agent: Sorry, I encountered an error: {str(e)}\n") ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from autogen_agentchat.agents import AssistantAgent from autogen_ext.models.openai import OpenAIChatCompletionClient from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams load_dotenv() async def main(): # Initialize Composio and create a Codacy session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["codacy"] ) url = session.mcp.url # Configure MCP server parameters for Streamable HTTP server_params = StreamableHttpServerParams( url=url, timeout=30.0, sse_read_timeout=300.0, terminate_on_close=True, headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")} ) # Create model client model_client = OpenAIChatCompletionClient( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY") ) # Use McpWorkbench as context manager async with McpWorkbench(server_params) as workbench: # Create Codacy assistant agent with MCP tools agent = AssistantAgent( name="codacy_assistant", description="An AI assistant that helps with Codacy operations.", model_client=model_client, workbench=workbench, model_client_stream=True, max_tool_iterations=10 ) print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Codacy related question or task to the agent.\n") # Conversation loop while True: user_input = input("You: ").strip() if user_input.lower() in ['exit', 'quit', 'bye']: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n") # Run the agent with streaming try: response_text = "" async for message in agent.run_stream(task=user_input): if hasattr(message, 'content') and message.content: response_text = message.content # Print the final response if response_text: print(f"Agent: {response_text}\n") else: print("Agent: I encountered an issue processing your request.\n") except Exception as e: print(f"Agent: Sorry, I encountered an error: {str(e)}\n") if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You now have an Autogen assistant wired into Codacy through Composio's Tool Router and MCP. From here you can: - Add more toolkits to the toolkits list, for example notion or hubspot - Refine the agent description to point it at specific workflows - Wrap this script behind a UI, Slack bot, or internal tool Once the pattern is clear for Codacy, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Codacy MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/codacy/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/codacy/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/codacy/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/codacy/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/codacy/framework/codex) - [OpenClaw](https://composio.dev/toolkits/codacy/framework/openclaw) - [Hermes](https://composio.dev/toolkits/codacy/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/codacy/framework/cli) - [Google ADK](https://composio.dev/toolkits/codacy/framework/google-adk) - [LangChain](https://composio.dev/toolkits/codacy/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/codacy/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/codacy/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/codacy/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/codacy/framework/crew-ai) ## Related Toolkits - [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure. - [Codeinterpreter](https://composio.dev/toolkits/codeinterpreter) - Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms. - [GitHub](https://composio.dev/toolkits/github) - GitHub is a code hosting platform for version control and collaborative software development. It streamlines project management, code review, and team workflows in one place. - [Ably](https://composio.dev/toolkits/ably) - Ably is a real-time messaging platform for live chat and data sync in modern apps. It offers global scale and rock-solid reliability for seamless, instant experiences. - [Abuselpdb](https://composio.dev/toolkits/abuselpdb) - Abuselpdb is a central database for reporting and checking IPs linked to malicious online activity. Use it to quickly identify and report suspicious or abusive IP addresses. - [Alchemy](https://composio.dev/toolkits/alchemy) - Alchemy is a blockchain development platform offering APIs and tools for Ethereum apps. It simplifies building and scaling Web3 projects with robust infrastructure. - [Algolia](https://composio.dev/toolkits/algolia) - Algolia is a hosted search API that powers lightning-fast, relevant search experiences for web and mobile apps. It helps developers deliver instant, typo-tolerant, and scalable search without complex infrastructure. - [Anchor browser](https://composio.dev/toolkits/anchor_browser) - Anchor browser is a developer platform for AI-powered web automation. It transforms complex browser actions into easy API endpoints for streamlined web interaction. - [Apiflash](https://composio.dev/toolkits/apiflash) - Apiflash is a website screenshot API for programmatically capturing web pages. It delivers high-quality screenshots on demand for automation, monitoring, or reporting. - [Apiverve](https://composio.dev/toolkits/apiverve) - Apiverve delivers a suite of powerful APIs that simplify integration for developers. It's designed for reliability and scalability so you can build faster, smarter applications without the integration headache. - [Appcircle](https://composio.dev/toolkits/appcircle) - Appcircle is an enterprise-grade mobile CI/CD platform for building, testing, and publishing mobile apps. It streamlines mobile DevOps so teams ship faster and with more confidence. - [Appdrag](https://composio.dev/toolkits/appdrag) - Appdrag is a cloud platform for building websites, APIs, and databases with drag-and-drop tools and code editing. It accelerates development and iteration by combining hosting, database management, and low-code features in one place. - [Appveyor](https://composio.dev/toolkits/appveyor) - AppVeyor is a cloud-based continuous integration service for building, testing, and deploying applications. It helps developers automate and streamline their software delivery pipelines. - [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure. - [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code. - [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows. - [Better stack](https://composio.dev/toolkits/better_stack) - Better Stack is a monitoring, logging, and incident management solution for apps and services. It helps teams ensure application reliability and performance with real-time insights. - [Bitbucket](https://composio.dev/toolkits/bitbucket) - Bitbucket is a Git-based code hosting and collaboration platform for teams. It enables secure repository management and streamlined code reviews. - [Blazemeter](https://composio.dev/toolkits/blazemeter) - Blazemeter is a continuous testing platform for web and mobile app performance. It empowers teams to automate and analyze large-scale tests with ease. - [Blocknative](https://composio.dev/toolkits/blocknative) - Blocknative delivers real-time mempool monitoring and transaction management for public blockchains. Instantly track pending transactions and optimize blockchain interactions with live data. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Codacy MCP? With a standalone Codacy MCP server, the agents and LLMs can only access a fixed set of Codacy tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Codacy and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Autogen? Yes, you can. Autogen fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Codacy tools. ### Can I manage the permissions and scopes for Codacy while using Tool Router? Yes, absolutely. You can configure which Codacy scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do. ### How safe is my data with Composio Tool Router? All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Codacy data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) ยท [Composio docs](https://docs.composio.dev/llms.txt)