Doppler MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Doppler through the 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 Doppler, 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 Doppler MCP Server
Connect your Doppler account to any AI agent and take full control of your secrets management through natural conversation.
The Vercel AI SDK gives every Doppler tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through the 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
- Workspace & Project Discovery — List all workspaces and projects with their names, slugs and descriptions
- Config (Environment) Management — View all configs (development, staging, production) per project and their metadata
- Secret Auditing — List all secret names and computed values for any config, with environment fallback resolution
- Secret Operations — Add, update and delete secrets in any environment with atomic change requests
- Activity Logging — Review the full audit log of secret reads, writes, config changes and user activity per project
The Doppler MCP Server exposes 12 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 Doppler to Vercel AI SDK via MCP
Follow these steps to integrate the Doppler 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 12 tools from Doppler and passes them to the LLM
Why Use Vercel AI SDK with the Doppler MCP Server
Vercel AI SDK provides unique advantages when paired with Doppler 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 Doppler integration everywhere
Built-in streaming UI primitives let you display Doppler 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
Doppler + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Doppler MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Doppler in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Doppler tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Doppler capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Doppler through natural language queries
Doppler MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Doppler to Vercel AI SDK via MCP:
change_secrets
Provide project_slug, config_name and a JSON object mapping secret names to values. For example: {"DATABASE_URL":"postgres://...","API_KEY":"sk-..."}. Existing secrets not included are not modified. Add or update secrets in a Doppler config
delete_secrets
Provide project_slug, config_name and comma-separated secret names. WARNING: deleted secrets cannot be recovered. If a secret inherits a value from a parent, it reverts to that value. Delete secrets from a Doppler config
get_account
Returns account email, name, and token metadata (type, scope, permissions). Use this to verify your token is working correctly and understand its access level. Get the current Doppler account details
get_config
Returns config name, project, root status, associated environment template, creation date and locked status. Get details for a specific Doppler config
get_project
Provide the project slug (e.g. "my-api-project") and optionally the workspace slug. Get details for a specific Doppler project
get_secret
Returns the secret name and its resolved value with fallbacks from parent environments applied. Get a specific secret value from a Doppler config
list_activity_logs
Each entry shows who performed what action, when and the affected config. Optionally filter by config_name. Useful for security auditing and compliance. List activity logs for a Doppler project
list_configs
Each config represents a deployment environment (development, staging, production) and contains its own set of secrets. Returns config name, project slug, root status and environment template used. List configs (environments) for a Doppler project
list_environments
g. development, staging, production, preview). Returns environment name, slug and whether it is the default environment. List Doppler environment types
list_projects
Optionally filter by workspace slug. Each project contains configs (environments) and secrets. Returns project name, slug, description, and creation date. List Doppler projects
list_secrets
Returns each secret's name, computed value (with environment fallbacks applied), visibility status. Provide the project_slug and config_name. List all secrets for a Doppler config
list_workspaces
A workspace is the top-level organizational unit in Doppler that groups projects. Returns workspace name, slug and creation date. List all Doppler workspaces
Example Prompts for Doppler in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Doppler immediately.
"Show me all configs for my 'backend-api' project."
"Update the DATABASE_URL secret in my prod config to point to the new database."
"Who changed secrets in my project in the last week?"
Troubleshooting Doppler MCP Server with Vercel AI SDK
Common issues when connecting Doppler to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDoppler + Vercel AI SDK FAQ
Common questions about integrating Doppler 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 Doppler 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 Doppler to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.