Codacy MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Codacy through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Codacy, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 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.
The Vercel AI SDK gives every Codacy tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Codacy to Vercel AI SDK via MCP
Follow these steps to integrate the Codacy MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from Codacy and passes them to the LLM
Why Use Vercel AI SDK with the Codacy MCP Server
Vercel AI SDK provides unique advantages when paired with Codacy through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Codacy integration everywhere
Built-in streaming UI primitives let you display Codacy tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Codacy + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Codacy MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Codacy in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Codacy tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Codacy capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Codacy through natural language queries
Codacy MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Codacy to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Codacy to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCodacy + Vercel AI SDK FAQ
Common questions about integrating Codacy MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Codacy 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 Codacy to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.