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gotoolkits/DifyWorkflow

by Various

mcp-difyworkflow-server is an mcp server Tools application that implements the query and invocation of Dify workflows, supporting the on-demand operation of multiple custom Dify wo

G

MCP

gotoolkits/DifyWorkflow

Added 1 June 2026

#ai #mcp #mcp-server

Overview

An MCP server written in Go that enables querying and invoking Dify workflows over the Model Context Protocol. It supports on-demand operation of multiple custom Dify workflows, allowing external tools to trigger and retrieve results from Dify-based pipelines.

Best for

Best for
Developers who need to connect Dify workflows to MCP-compatible clients such as AI assistants or automation tools

Use cases

  • Querying available Dify workflows from an MCP client
  • Invoking specific Dify workflows programmatically
  • Integrating custom Dify workflows into LLM-powered applications via MCP

Notes

An MCP server written in Go that enables querying and invoking Dify workflows over the Model Context Protocol. It supports on-demand operation of multiple custom Dify workflows, allowing external tools to trigger and retrieve results from Dify-based pipelines.

58 stars on GitHub. Last updated 2024-12-26. Licensed Apache-2.0.

Use cases

  • Querying available Dify workflows from an MCP client
  • Invoking specific Dify workflows programmatically
  • Integrating custom Dify workflows into LLM-powered applications via MCP

Pros

  • Standard MCP interface simplifies integration with AI tools
  • Lightweight Go server easy to deploy and run
  • Supports multiple Dify workflows without per-workflow configuration

Cons

  • Limited community and documentation due to low star count
  • Requires an existing Dify platform installation
  • Only supports query and invoke, not workflow creation or modification

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Standard MCP interface simplifies integration with AI tools
  • Lightweight Go server easy to deploy and run
  • Supports multiple Dify workflows without per-workflow configuration

Cons

  • Limited community and documentation due to low star count
  • Requires an existing Dify platform installation
  • Only supports query and invoke, not workflow creation or modification

Pairs with

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