# Dify Tools Bridge

> Use this tool when you need to integrate Dify tools with MCP-compatible AI assistants, solving the problem of incompatible tool ecosystems and enabling seamless discovery and execution of tools. It takes in Dify tool definitions and outputs MCP-compatible formats, providing a standardized interface for AI assistants to invoke tools. This bridge plugin is ideal for organizations looking to extend their existing Dify tools to work with various AI assistants without redundant configurations.

Canonical page: https://skillsregistry.net/skills/dify-tools-bridge  
JSON: https://api.skillsregistry.net/v1/skills/dify-tools-bridge

## Description

MCP Compatible Dify Tools is a bridge plugin that enables Dify's tool ecosystem to work with MCP-compatible AI assistants. It provides two key endpoints: an SSE endpoint for establishing streaming connections and a messages endpoint that handles tool discovery and execution. The plugin converts Dify tool definitions into MCP-compatible formats, allowing AI assistants to discover available tools and invoke them through a standardized interface. This implementation is particularly useful for organizations already using Dify who want to extend their existing tools to work with any MCP-compatible AI assistant without duplicating tool configurations.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dify-tools-bridge)
- **Repository:** <https://github.com/junjiem/dify-plugin-mcp_compat_dify_tools>

## 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": "dify-tools-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dify-tools-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dify-tools-bridge/pull`

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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