Doppler MCP Server for Cursor 12 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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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.
{
"mcpServers": {
"doppler": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Cursor's Agent mode turns Doppler into an in-editor superpower. Ask Cursor to generate code using live data from Doppler and it fetches, processes, and writes — all in a single agentic loop. 12 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the Doppler MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Doppler
Open Agent mode in chat and ask: "Using Doppler, help me..." — 12 tools available
Why Use Cursor with the Doppler MCP Server
Cursor AI Code Editor provides unique advantages when paired with Doppler through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Doppler + Cursor Use Cases
Practical scenarios where Cursor combined with the Doppler MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Doppler MCP Tools for Cursor (12)
These 12 tools become available when you connect Doppler to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting Doppler to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Doppler + Cursor FAQ
Common questions about integrating Doppler MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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 Cursor
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.