DevCycle MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect DevCycle through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 DevCycle, 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 DevCycle MCP Server
Integrate DevCycle, the modern feature flag and experimentation platform, directly into your AI workflow. Manage your feature flags across projects, monitor staging and production environments, and audit targeting rules and variations using natural language.
The Vercel AI SDK gives every DevCycle tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Feature Flag Management — List, search, and retrieve detailed configuration for all your feature flags.
- Environment Oversight — Monitor project environments, retrieve SDK keys, and track deployment statuses.
- Variable & Variation Tracking — List all defined variables and their variations to ensure technical consistency.
- Operational Control — Update feature flag statuses (active/archived) directly via chat.
The DevCycle MCP Server exposes 10 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 DevCycle to Vercel AI SDK via MCP
Follow these steps to integrate the DevCycle 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 10 tools from DevCycle and passes them to the LLM
Why Use Vercel AI SDK with the DevCycle MCP Server
Vercel AI SDK provides unique advantages when paired with DevCycle 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 DevCycle integration everywhere
Built-in streaming UI primitives let you display DevCycle 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
DevCycle + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the DevCycle MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query DevCycle in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate DevCycle tools and return structured JSON responses to any frontend
Chatbots with tool use: embed DevCycle capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with DevCycle through natural language queries
DevCycle MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect DevCycle to Vercel AI SDK via MCP:
get_environment_sdk_keys
List SDK keys for all environments in a project
get_feature_flag_details
Get full configuration and targeting rules for a specific feature flag
get_project_details
Get detailed information for a specific DevCycle project
list_active_flags
Identify feature flags that are currently active
list_devcycle_projects
List all projects in your DevCycle account
list_feature_flags
g. release, ops), and current statuses. List all feature flags within a specific project
list_feature_variables
List all variables defined in a project
list_project_environments
List all environments (e.g. Production, Staging) for a project
search_feature_flags
Search for feature flags in a project by keyword
update_feature_flag_status
Update the status (e.g. active, archived) of a feature flag
Example Prompts for DevCycle in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with DevCycle immediately.
"List all feature flags in the project 'Main-App'."
"Show me the configuration for the 'Beta-Feature' flag."
"What are the SDK keys for our 'Production' environment?"
Troubleshooting DevCycle MCP Server with Vercel AI SDK
Common issues when connecting DevCycle to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDevCycle + Vercel AI SDK FAQ
Common questions about integrating DevCycle 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 DevCycle 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 DevCycle to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.