Skip to main content
Glama

dify-mcp

The most complete MCP server + CLI for Dify

138 tools. 16 namespaces. One registry. Let any AI agent build, test, and ship Dify workflows autonomously — everything a human can do in the UI, now scriptable.

License: Apache-2.0 Node >= 23.6 138 Tools Live Verified

Works with Claude Code · Codex · Gemini CLI · Cursor · Cline · Windsurf · Roo Code · Continue · Aider · Zed — and any other MCP-compatible or shell-capable agent.


What is this?

Dify is a powerful open-source LLM app platform — but its workflow builder is a visual drag-and-drop editor. What if you want an AI agent to programmatically create workflows, wire up nodes, test them, iterate, and publish — without a browser?

dify-mcp is the bridge. It exposes the entire Dify console API as a unified tool registry with two surfaces: a CLI any shell-capable agent can drive, and an MCP server (stdio or Streamable HTTP) any MCP-compatible host can attach. Same 138 tools, same JSON contract, same safety guarantees.

┌──────────────────────────────────────────────────────────┐
│                    dify-mcp                              │
│                                                          │
│   ┌──────────┐    ┌────────────────────┐    ┌─────────┐ │
│   │  CLI     │───▶│   138-tool         │───▶│  Dify   │ │
│   │  difywf  │    │   registry         │    │  API    │ │
│   └──────────┘    │                    │    └─────────┘ │
│   ┌──────────┐    │  app · workflow    │         ▲      │
│   │  MCP     │───▶│  provider · rag    │─────────┘      │
│   │  stdio   │    │  agent · snippet   │                │
│   └──────────┘    │  stats · audio ... │                │
│                   └────────────────────┘                │
└──────────────────────────────────────────────────────────┘

Related MCP server: Dify MCP Server

Works with your favorite agents

dify-mcp is agent-agnostic by design — no SDK lock-in, no proprietary protocol. If your agent can run a shell command, it can use the CLI. If it speaks MCP, it can attach the server. Most popular agents do both:

Agent

MCP

CLI

Quick setup

Claude Code

claude mcp add dify -- difywf mcp serve

Codex

[mcp_servers.dify] in ~/.codex/config.toml

Gemini CLI

mcpServers.dify in ~/.gemini/settings.json

Cursor

.cursor/mcp.json

Cline

Same JSON shape as Cursor

Windsurf

MCP server config in Windsurf settings

Roo Code

MCP server config in Roo Code settings

Continue

experimental.mcpServer in config.json

Zed

context_servers in ~/.config/zed/settings.json

Aider

-

Run difywf commands directly in chat

Don't see your agent? If it supports MCP or can run shell commands, it works. The connect section below has copy-paste configs for each host.

Why you'll star this

  • Complete coverage. Not a subset. Not a wrapper around the public API alone. This talks to the internal console API — the same surface the Dify web UI uses. Create apps, author graphs node-by-node, validate, test-run, publish, manage versions, triggers, providers, plugins, RAG pipelines, snippets, agent configs, comments, annotations, audio, stats. If the UI can do it, so can your agent.

  • Agent-agnostic by design. No SDK lock-in. The CLI works with any agent that can run a shell command. The MCP server works with any MCP host. Both return structured JSON — { ok, data } or { ok: false, error: { code, message, retryable } } — so agents never scrape human-readable text.

  • Cookie auth, handled. Dify's console uses cookie + CSRF double-submit, not Bearer tokens. dify-mcp captures, stores, and auto-refreshes the session — including the server-side refresh-token rotation that silently invalidates naive clients.

  • Safe by default. Destructive operations require explicit confirm=true / --yes. Graphs are validated offline before sync. Every mutation is audit-logged. --dry-run shows diffs without saving.

  • Zero build step. Runs directly on Node 23.6+ native TypeScript. No compiler, no bundler, no transpiler. Clone, install, go.

Live verified

Every tool category has been tested against cloud.dify.ai with real credentials:

  • ✅ Full authoring loop: create app → sync draft → run draft → publish → list versions

  • ✅ All 16 namespaces exercised: apps, workflows, providers, plugins, triggers, snippets, RAG, agents, stats, comments, annotations, audio, files, runs, workspace

  • ✅ MCP transport: tools/call over stdio and Streamable HTTP with live cookie auth

  • ✅ 42 unit tests · typecheck clean · MCP smoke (138 tools)

Quickstart

Prerequisites: Node >= 23.6 (native TypeScript type stripping — no build step).

git clone https://github.com/alexjiaguo/dify-mcp.git
cd dify-mcp
npm install
npm link        # puts `difywf` on your PATH (optional)

Authenticate

The Dify console uses cookie + CSRF auth. The easiest path:

# 1. Export cookies from your browser (cookie-editor extension → Export → JSON)
# 2. Save as cookies.json, then:
difywf auth import-cookies --base-url https://cloud.dify.ai --file cookies.json

# Or self-hosted with email/password (no browser needed):
difywf auth login-console --base-url https://your-dify --email you@x --password '***'

difywf auth status   # confirm: shows base URL + cookie names (values masked)

Build a workflow

difywf agent guide                          # self-onboarding playbook for agents
difywf app list                             # see your apps
difywf app create --mode workflow --name "my-agent-workflow"

difywf wf node defaults <app-id> llm        # get the schema for an LLM node
difywf wf validate --graph graph.json       # offline: structure, refs, cycles
difywf wf draft sync <app-id> --graph graph.json --dry-run   # preview diff
difywf wf draft sync <app-id> --graph graph.json             # save draft
difywf wf test <app-id> --input query="hello"                # test-run the draft
difywf wf publish <app-id> --yes                             # ship it

Connect your agent (MCP)

Same binary, same 138 tools. Copy-paste the config for your host:

claude mcp add dify -- difywf mcp serve
[mcp_servers.dify]
command = "difywf"
args = ["mcp", "serve"]
{
  "mcpServers": {
    "dify": {
      "command": "difywf",
      "args": ["mcp", "serve"]
    }
  }
}
{
  "mcpServers": {
    "dify": {
      "command": "difywf",
      "args": ["mcp", "serve"]
    }
  }
}

Add an MCP server in Windsurf settings (Cmd+, -> MCP Servers) with command difywf and args ["mcp", "serve"].

{
  "context_servers": {
    "dify": {
      "command": "difywf",
      "args": ["mcp", "serve"]
    }
  }
}

Aider doesn't support MCP, but it can run shell commands. Just use the CLI directly:

/run difywf app list
/run difywf wf draft sync <app-id> --graph graph.json

For remote or containerized hosts that can't spawn a local process, run the MCP server over the stateless Streamable HTTP transport:

difywf mcp serve --http --port 8080
# or via env: DIFYWF_MCP_TRANSPORT=http DIFYWF_MCP_PORT=8080 difywf mcp serve

Point any Streamable-HTTP-capable client at http://<host>:8080/mcp. Each POST is a self-contained JSON-RPC message (initialize / tools/list / tools/call); no session is required. GET and DELETE are rejected with 405.

No difywf on PATH? Use the absolute path: node /path/to/dify-mcp/bin/difywf.js mcp serve.

Tools

138 tools across 16 namespaces. Run difywf --help for the full live list, or difywf agent guide for the agent-oriented playbook.

Namespace

Tools

What it does

app

13

List, create, update, delete, export, import, copy, rename, convert apps

workflow

22

Get/sync drafts, validate, run, publish, node defaults, variables, versions, HITL

provider

3

List providers, list models, set credentials

plugin

1

List installed plugins

trigger

4

Create, enable, list, webhook triggers; run triggers

workspace

4

List, get, switch workspaces; list members

file

1

Upload files for use in runs

runs

4

List, get, node executions, export run traces

stats

5

Daily conversations/terminals, token costs, app interactions, online users

comment

3

List, add, resolve workflow comments

annotation

12

List, add, delete, reply, settings, export, batch import, hit histories

audio

3

Transcribe (STT), synthesize (TTS), list voices

rag

20

Full RAG pipeline lifecycle: datasets, templates, draft, sync, run, publish, versions

snippet

22

Customized snippet lifecycle: create, import, draft, sync, run, publish, versions

agent

16

Agent config skills/files, drive files/skills, sandbox read/upload

explore

2

Run and stop installed apps

auth

2

Status, login, import cookies

Safety

Mechanism

How it works

Confirm gates

Destructive ops (delete, publish, restore, set_credentials) require confirm=true / --yes. Without it: exit code 4.

Offline validation

sync_draft validates the graph structure, variable refs, connectivity, and cycles before hitting the API. Errors abort with exit 5.

Dry-run

--dry-run on sync_draft returns a structural diff without saving.

Audit log

Every mutation appends to ~/.difywf/audit.jsonl (secrets redacted).

Auto-refresh

Cookie sessions auto-refresh on 401 via the refresh-token cookie, with server-side rotation persisted.

Error/exit codes: USAGE_ERROR(2), AUTH_REQUIRED(3), CONFIRM_REQUIRED(4), VALIDATION_FAILED(5), RBAC_DENIED(6), NOT_FOUND(7), DSL_VERSION_MISMATCH(8), RATE_LIMITED(9), SERVER_ERROR(10), NETWORK_ERROR(11). Check error.retryable before retrying.

Develop

npm run typecheck   # tsc --noEmit
npm test            # 42 unit tests
npm run smoke:mcp   # MCP stdio smoke (138 tools, JSON-RPC handshake)
npm run smoke:mcp:http   # MCP Streamable HTTP smoke (stateless POST /mcp)

No build step. Source runs directly via Node's type stripping.

License

Apache-2.0 — see LICENSE.

If this saves you time, a ⭐ is the best thank-you.

Built for agents, by agents.

A
license - permissive license
-
quality - not tested
A
maintenance

Maintenance

Maintainers
Response time
Release cycle
1Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • A
    license
    -
    quality
    D
    maintenance
    A TypeScript-based server that connects MCP Clients to Dify applications, dynamically exposing Dify applications as tools that can be used directly within the MCP Client.
    9
    5
    MIT
  • -
    license
    B
    quality
    -
    maintenance
    MCP server for Akamai APIs. 198 tools covering Property Manager, Edge DNS, CPS, WAF, and reporting. Built with TypeScript, featuring modular architecture, comprehensive testing, and multi-account support. Make Akamai accessible to AI assistants.
    1
    9
    10
  • F
    license
    -
    quality
    D
    maintenance
    A comprehensive MCP server providing over 390 tools across 66 providers, including major SaaS platforms like GitHub, Slack, and Stripe. It enables AI assistants to interact directly with a wide array of public APIs and utility services through a single interface.

View all related MCP servers

Related MCP Connectors

  • Free public MCP for AI agents — 193 tools, 44 workflows. No API key.

  • MCP server for AI agents to plan, verify, and deploy Cloudflare-native apps.

  • MCP server exposing the Backtest360 engine API as tools for AI agents.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/alexjiaguo/dify-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server