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Vinkius

Doppler MCP Server for Cline 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools IDE

Cline is an autonomous AI coding agent inside VS Code that plans, executes, and iterates on tasks. Wire Doppler through the Vinkius and Cline gains direct access to every tool — from data retrieval to workflow automation — without leaving the terminal.

Vinkius supports streamable HTTP and SSE.

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The modern way to manage MCP Servers — no config files, no terminal commands. Install Doppler and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json
{
  "mcpServers": {
    "doppler": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Doppler
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Cline operates autonomously inside VS Code — it reads your codebase, plans a strategy, and executes multi-step tasks including Doppler tool calls without waiting for prompts between steps. Connect 12 tools through the Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.

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 Cline 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 Cline via MCP

Follow these steps to integrate the Doppler MCP Server with Cline.

01

Open Cline MCP Settings

Click the MCP Servers icon in the Cline sidebar panel

02

Add remote server

Click "Add MCP Server" and paste the configuration above

03

Enable the server

Toggle the server switch to ON

04

Start using Doppler

Ask Cline: "Using Doppler, help me..."12 tools available

Why Use Cline with the Doppler MCP Server

Cline provides unique advantages when paired with Doppler through the Model Context Protocol.

01

Cline operates autonomously — it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts

02

Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window

03

Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation

04

Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing

Doppler + Cline Use Cases

Practical scenarios where Cline combined with the Doppler MCP Server delivers measurable value.

01

Autonomous feature building: tell Cline to fetch data from Doppler and scaffold a complete module with types, handlers, and tests

02

Codebase refactoring: use Doppler tools to validate live data while Cline restructures your code to match updated schemas

03

Automated testing: Cline fetches real responses from Doppler and generates snapshot tests or mocks based on actual payloads

04

Incident response: query Doppler for real-time status and let Cline generate hotfix patches based on the findings

Doppler MCP Tools for Cline (12)

These 12 tools become available when you connect Doppler to Cline via MCP:

01

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

02

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

03

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

04

get_config

Returns config name, project, root status, associated environment template, creation date and locked status. Get details for a specific Doppler config

05

get_project

Provide the project slug (e.g. "my-api-project") and optionally the workspace slug. Get details for a specific Doppler project

06

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

07

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

08

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

09

list_environments

g. development, staging, production, preview). Returns environment name, slug and whether it is the default environment. List Doppler environment types

10

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

11

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

12

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 Cline

Ready-to-use prompts you can give your Cline agent to start working with Doppler immediately.

01

"Show me all configs for my 'backend-api' project."

02

"Update the DATABASE_URL secret in my prod config to point to the new database."

03

"Who changed secrets in my project in the last week?"

Troubleshooting Doppler MCP Server with Cline

Common issues when connecting Doppler to Cline through the Vinkius, and how to resolve them.

01

Server shows error in sidebar

Click the server name to see logs. Verify the URL and token are correct.

Doppler + Cline FAQ

Common questions about integrating Doppler MCP Server with Cline.

01

How does Cline connect to MCP servers?

Cline reads MCP server configurations from its settings panel in VS Code. Add the server URL and Cline discovers all available tools on initialization.
02

Can Cline run MCP tools without approval?

By default, Cline asks for confirmation before executing tool calls. You can configure auto-approval rules for trusted servers in the settings.
03

Does Cline support multiple MCP servers at once?

Yes. Configure as many servers as needed. Cline can use tools from different servers within the same autonomous task execution.

Connect Doppler to Cline

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.