pulsemcp verified Safe content atomic mcp-remote

Dify Workflows

This Dify Workflow MCP server, developed by an unnamed creator, integrates with the Dify API to enable AI-driven workflow execution. Built with Go and leveraging the MCP-Go library, it provides tools for listing authorized workflows and executing specified workflows with custom inputs. The server implements environment-based configuration, allowing for flexible API key and workflow name management. By abstracting the complexities of Dify API interactions, it enables AI systems to easily trigger and manage complex workflows. This implementation is particularly valuable for applications requiring programmatic access to Dify workflows, facilitating use cases such as automated task execution, multi-step data processing, and AI-driven decision making across various domains.

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 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: productivity
Source: PulseMCP
Repository: github.com/gotoolkits/mcp-difyworkflow-server
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Dify Workflows 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"