ConfigCat MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 18 tools to Create Config, Create Environment, Create Segment, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ConfigCat 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 for Vercel AI SDK
The ConfigCat MCP Server for Vercel AI SDK is a standout in the Ship It category — giving your AI agent 18 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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 ConfigCat, 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 ConfigCat MCP Server
Connect ConfigCat to any AI agent to streamline your feature flag management and release workflows through natural conversation.
The Vercel AI SDK gives every ConfigCat tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 18 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
- Configurations & Environments — List, create, and manage configuration containers and environments (Test, Staging, Production) across your products.
- Feature Flags & Settings — Create and inspect feature flags or settings (boolean, string, int, double) to control application logic.
- Value Management — Retrieve and update setting values dynamically to trigger real-time changes in your software without redeploying.
- Segment Control — Manage user segments to target specific groups for canary releases or A/B testing.
The ConfigCat MCP Server exposes 18 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 18 ConfigCat tools available for Vercel AI SDK
When Vercel AI SDK connects to ConfigCat through Vinkius, your AI agent gets direct access to every tool listed below — spanning feature-flags, remote-config, release-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create config on ConfigCat
Create a new configuration
Create environment on ConfigCat
Create a new environment
Create segment on ConfigCat
Create a new segment
Create setting on ConfigCat
Create a new feature flag or setting
Delete config on ConfigCat
Delete a configuration
Delete environment on ConfigCat
Delete an environment
Delete segment on ConfigCat
Delete a segment
Delete setting on ConfigCat
Delete a setting
Get config on ConfigCat
Get details of a specific configuration
Get environment on ConfigCat
Get details of an environment
Get segment on ConfigCat
Get details of a segment
Get setting on ConfigCat
Get details of a setting
Get setting value on ConfigCat
Get the value of a setting in an environment
List configs on ConfigCat
List all configurations in a product
List environments on ConfigCat
g., Test, Production) for a specific product. List all environments in a product
List segments on ConfigCat
List all segments in a product
List settings on ConfigCat
List all settings in a configuration
Update setting value on ConfigCat
Update the value/targeting of a setting
Connect ConfigCat to Vercel AI SDK via MCP
Follow these steps to wire ConfigCat into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the ConfigCat MCP Server
Vercel AI SDK provides unique advantages when paired with ConfigCat 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 ConfigCat integration everywhere
Built-in streaming UI primitives let you display ConfigCat 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
ConfigCat + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ConfigCat MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ConfigCat in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ConfigCat tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ConfigCat capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ConfigCat through natural language queries
Example Prompts for ConfigCat in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ConfigCat immediately.
"List all configurations for product ID 'prod_123'."
"Create a new boolean feature flag called 'Beta Feature' in config 'conf_abc'."
"Show me the details for environment 'env_987'."
Troubleshooting ConfigCat MCP Server with Vercel AI SDK
Common issues when connecting ConfigCat to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpConfigCat + Vercel AI SDK FAQ
Common questions about integrating ConfigCat 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.Explore More MCP Servers
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