Infisical MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Infisical 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 Infisical, 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 Infisical MCP Server
Connect Infisical to your AI agent and manage your secrets infrastructure through natural conversation.
The Vercel AI SDK gives every Infisical tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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
- Secret Management — List, get, create, update, and delete secrets across any environment
- Project Overview — Query project configurations and metadata
- Environment Navigation — Browse and switch between dev, staging, and production environments
- Audit Logging — Access detailed audit logs for compliance and security tracking
- Identity Management — List and manage service identities and access controls
The Infisical MCP Server exposes 9 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 Infisical to Vercel AI SDK via MCP
Follow these steps to integrate the Infisical 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 9 tools from Infisical and passes them to the LLM
Why Use Vercel AI SDK with the Infisical MCP Server
Vercel AI SDK provides unique advantages when paired with Infisical 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 Infisical integration everywhere
Built-in streaming UI primitives let you display Infisical 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
Infisical + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Infisical MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Infisical in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Infisical tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Infisical capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Infisical through natural language queries
Infisical MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect Infisical to Vercel AI SDK via MCP:
create_secret
The key must not already exist at that path. Use this to provision new configuration values or credentials. Create a new secret in the Infisical project
delete_secret
This action cannot be undone. Use with caution. Delete a secret from the Infisical project
get_project_info
Get information about the configured Infisical project
get_secret
Requires the exact key name as stored in Infisical. Optionally specify a path if the secret is not at the root level. Get a specific secret by its key name
list_audit_logs
Essential for compliance and security monitoring. List recent audit log entries for the project
list_environments
g., dev, staging, prod) configured for the project. Use this to discover available environments before switching context. List all environments in the configured Infisical project
list_identities
Useful for auditing automated access. List all machine identities configured in the organization
list_secrets
Defaults to the root path "/" if no path is provided. Use this to audit what secrets are available or to verify configuration. List all secrets in a given path of the current project and environment
update_secret
The key must exist; use create_secret for new entries. Update the value of an existing secret
Example Prompts for Infisical in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Infisical immediately.
"List all secrets in the production environment."
Troubleshooting Infisical MCP Server with Vercel AI SDK
Common issues when connecting Infisical to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpInfisical + Vercel AI SDK FAQ
Common questions about integrating Infisical 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 Infisical 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 Infisical to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.