pulsemcp verified Safe content atomic mcp-remote

DolphinScheduler

DolphinScheduler MCP Server provides a bridge between AI agents and Apache DolphinScheduler's workflow management platform through a standardized protocol. Developed by ocean-zhc, this implementation exposes DolphinScheduler's REST API as a collection of tools for project management, workflow execution, task monitoring, and resource management. The server is built with Python using FastMCP and supports configuration through environment variables or command-line arguments. It includes comprehensive error handling and authentication management for the DolphinScheduler API, making it ideal for DevOps teams who want to automate workflow orchestration tasks through AI assistants without switching context to the DolphinScheduler interface.

Cognium trust score

100%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: devops-ci
Source: PulseMCP
Repository: github.com/ocean-zhc/dolphinscheduler-mcp
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve DolphinScheduler from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"