# devflow MCP server

> Connects Jira with GitHub and GitLab to automate issue management, branch creation, pull requests, and developer workflows via an AI assistant.

- Repository: https://github.com/cocaxcode/devflow-mcp
- Page: https://hostedmcp.org/servers/cocaxcode/devflow-mcp
- Transport: stdio
- Stars: 1
- License: MIT
- Latest version: 0.1.8

## Install

### Claude Code

```sh
claude mcp add devflow-mcp -- npx -y @cocaxcode/devflow-mcp
```

### Cursor (`~/.cursor/mcp.json`)

```json
{
  "mcpServers": {
    "devflow-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@cocaxcode/devflow-mcp"
      ]
    }
  }
}
```

### VS Code (`.vscode/mcp.json`)

```json
{
  "servers": {
    "devflow-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@cocaxcode/devflow-mcp"
      ]
    }
  }
}
```

### VS Code CLI

```sh
code --add-mcp '{"name":"devflow-mcp","type":"stdio","command":"npx","args":["-y","@cocaxcode/devflow-mcp"]}'
```

### Claude Desktop (`claude_desktop_config.json`)

```json
{
  "mcpServers": {
    "devflow-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@cocaxcode/devflow-mcp"
      ]
    }
  }
}
```

### Codex

```sh
codex mcp add devflow-mcp -- npx -y @cocaxcode/devflow-mcp
```

### Codex config.toml (`~/.codex/config.toml`)

```toml
[mcp_servers.devflow-mcp]
command = "npx"
args = ["-y", "@cocaxcode/devflow-mcp"]
```

### Gemini CLI

```sh
gemini mcp add -s user devflow-mcp npx -- -y @cocaxcode/devflow-mcp
```

### Gemini settings.json (`~/.gemini/settings.json`)

```json
{
  "mcpServers": {
    "devflow-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@cocaxcode/devflow-mcp"
      ]
    }
  }
}
```

## Tools (32)

- `df_project_setup`
- `df_project_update`
- `df_project_list`
- `df_project_switch`
- `df_project_delete`
- `df_issues`
- `df_issue`
- `df_statuses`
- `df_transition`
- `df_assign`
- `df_comment`
- `df_branch`
- `df_find_branch`
- `df_checkout`
- `df_pull`
- `df_push`
- `df_merge`
- `df_pr`
- `df_flow_create`
- `df_flow_list`
- `df_flow_get`
- `df_flow_update`
- `df_flow_delete`
- `df_rule_create`
- `df_rule_list`
- `df_rule_get`
- `df_rule_update`
- `df_rule_toggle`
- `df_rule_delete`
- `df_rule_project_override`
- `df_rule_project_add`
- `df_rule_project_remove`

## FAQ

### How does the server handle my credentials?

All credentials are kept locally in your home directory and are never synced or tracked externally.

### Can I use this with both Jira Cloud and Jira Server?

Yes, the server supports both Jira Cloud and Jira Server, and it automatically detects your Jira version.

### Can I create custom automated workflows?

Yes, you can define custom YAML flow playbooks to create repeatable sequences of tools.