dify-mcp
A comprehensive MCP server and CLI that exposes the entire Dify console API as 138 tools, enabling AI agents to programmatically build, test, and publish Dify workflows and manage all aspects of the Dify platform.
README
<div align="center">
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.
Works with Claude Code · Codex · Gemini CLI · Cursor · Cline · Windsurf · Roo Code · Continue · Aider · Zed — and any other MCP-compatible or shell-capable agent.
</div>
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) 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 ... │ │
│ └────────────────────┘ │
└──────────────────────────────────────────────────────────┘
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-runshows 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/callover stdio 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:
<details> <summary><b>Claude Code</b></summary>
claude mcp add dify -- difywf mcp serve
</details>
<details> <summary><b>Codex</b> (<code>~/.codex/config.toml</code>)</summary>
[mcp_servers.dify]
command = "difywf"
args = ["mcp", "serve"]
</details>
<details> <summary><b>Cursor</b> (<code>.cursor/mcp.json</code>) · <b>Cline</b> · <b>Roo Code</b> · <b>Continue</b></summary>
{
"mcpServers": {
"dify": {
"command": "difywf",
"args": ["mcp", "serve"]
}
}
}
</details>
<details> <summary><b>Gemini CLI</b> (<code>~/.gemini/settings.json</code>)</summary>
{
"mcpServers": {
"dify": {
"command": "difywf",
"args": ["mcp", "serve"]
}
}
}
</details>
<details> <summary><b>Windsurf</b> (Codeium)</summary>
Add an MCP server in Windsurf settings (Cmd+, -> MCP Servers) with command difywf
and args ["mcp", "serve"].
</details>
<details> <summary><b>Zed</b> (<code>~/.config/zed/settings.json</code>)</summary>
{
"context_servers": {
"dify": {
"command": "difywf",
"args": ["mcp", "serve"]
}
}
}
</details>
<details> <summary><b>Aider</b> (CLI only — no MCP)</summary>
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
</details>
No
difywfon 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)
No build step. Source runs directly via Node's type stripping.
License
Apache-2.0 — see LICENSE.
<div align="center">
If this saves you time, a ⭐ is the best thank-you.
Built for agents, by agents.
</div>
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
E2B
Using MCP to run code via e2b.