# Dokploy MCP Server

> Use this tool when you need to manage and interact with Dokploy projects, applications, and databases programmatically. It exposes Dokploy API endpoints as MCP tools, allowing AI models and clients to access and control server resources. Ideal for automating workflows, integrating with AI models, and streamlining project management tasks.

Canonical page: https://skillsregistry.net/skills/bravos2k5-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bravos2k5-mcp

## Description

Exposes all Dokploy API endpoints as MCP tools, enabling AI models and other clients to manage projects, applications, databases, and more on a Dokploy server.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vnljtpbv78)
- **Repository:** <https://github.com/bravos2k5/mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "bravos2k5-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bravos2k5-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bravos2k5-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt