Can I see the quality grade for a specific repository?

Yes! Use the `get_repository_quality_analysis` tool. Provide the provider (e.g., `gh`), organization, and repository name. The agent will return the current letter grade (A-F) and core quality metrics.

How do I search for security-related issues in my code?

Use the `search_repository_issues` tool. You can filter the payload to include `categories: ['Security']`. Your agent will fetch all security vulnerabilities identified by Codacy in that repository.

Where do I find my Codacy API Token?

Log in to Codacy, click on your avatar in the top right, go to **User Settings**, and select the **API** tab. You can generate and copy your account token from there.

Codacy MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: Codacy
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Codacy through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "codacy": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Codacy, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Codacy MCP Server

Connect your Codacy account to any AI agent and take full control of your automated code reviews and quality metrics through natural conversation. Streamline how you monitor security and maintainability across your repositories natively.

LangChain's ecosystem of 500+ components combines seamlessly with Codacy through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Organization Oversight — List and retrieve details for all organizations associated with your Codacy account natively
Repository Intelligence — Access current quality grades, complex files, and overall metrics for any analyzed repository flawlessly
Issue Management — Search for specific code quality issues using advanced filters like level, category, and language securely
Language Logistics — List all programming languages supported by the Codacy analysis engine flawlessly
Member Management — Access organization member rosters and user profile information securely
Webhook Visibility — Monitor configured webhooks for real-time quality and analysis notifications directly within your workspace

The Codacy MCP Server exposes 8 tools through the Vinkius. Connect it to LangChain 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 Codacy to LangChain via MCP

Follow these steps to integrate the Codacy MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 8 tools from Codacy via MCP

Why Use LangChain with the Codacy MCP Server

LangChain provides unique advantages when paired with Codacy through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Codacy MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Codacy queries for multi-turn workflows

Codacy + LangChain Use Cases

Practical scenarios where LangChain combined with the Codacy MCP Server delivers measurable value.

RAG with live data: combine Codacy tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Codacy, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Codacy tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Codacy tool call, measure latency, and optimize your agent's performance

Codacy MCP Tools for LangChain (8)

These 8 tools become available when you connect Codacy to LangChain via MCP:

get_my_codacy_profile

Retrieve information about the authenticated Codacy user

get_repository_quality_analysis

Get the current quality grade and metrics for a specific repository

list_codacy_organizations

List all organizations associated with the account

list_organization_members

List people and users belonging to an organization

list_organization_repositories

List all repositories analyzed within an organization

list_repository_webhooks

List configured webhooks for quality notifications

list_supported_languages

List programming languages supported by the Codacy analysis engine

search_repository_issues

Search for specific code quality issues in a repository

Example Prompts for Codacy in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Codacy immediately.

"List all repositories in the 'vinkius' organization on GitHub."

"Show me the security issues for the 'core-api' repository."

"What languages does Codacy support?"

Troubleshooting Codacy MCP Server with LangChain

Common issues when connecting Codacy to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Codacy + LangChain FAQ

Common questions about integrating Codacy MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.