任务大师 MCP Setup & Guide
io.mcp-cn.task-master-ai
智能任务管理和自动化的MCP工具
Copy the install config on this page first, then verify docs and permissions upstream.
Popularity
Overview
智能任务管理和自动化的MCP工具 任务大师 is a MCP Server listed from MCP Hub China. Transports: stdio. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.
Use cases
AgentHub Verified AvailabilityTested & Ready
Automated pipeline validated install commands, protocol & client compatibility
Copy by platform
Choose your platform
- Open or create .cursor/mcp.json in your project root
- Click Copy config and paste; merge only this mcpServers entry if others exist
- Replace <placeholders> in env with real secrets (see Environment variables below)
- Save, then Cmd+Shift+P → Reload Window
Pre-fill Environment Variables (Optional)
{
"mcpServers": {
"io-mcp-cn-task-master-ai": {
"command": "npx",
"args": [
"-y",
"task-master-ai"
],
"env": {
"ANTHROPIC_API_KEY": "<ANTHROPIC_API_KEY>",
"PERPLEXITY_API_KEY": "<PERPLEXITY_API_KEY>",
"OPENAI_API_KEY": "<OPENAI_API_KEY>",
"GOOGLE_API_KEY": "<GOOGLE_API_KEY>",
"MISTRAL_API_KEY": "<MISTRAL_API_KEY>",
"OPENROUTER_API_KEY": "<OPENROUTER_API_KEY>",
"XAI_API_KEY": "<XAI_API_KEY>",
"AZURE_OPENAI_API_KEY": "<AZURE_OPENAI_API_KEY>",
"OLLAMA_API_KEY": "<OLLAMA_API_KEY>"
}
}
}
}Setup tutorial
- Open the 任务大师 page and confirm this MCP Server (source: MCP Hub China).
- Copy the Cursor, Claude Code, or VS Code snippet.
- Merge it into mcpServers and replace env placeholders with real secrets.
- Reload the window, then call the MCP tools from your agent chat.
Install commands
Install commands and setup steps are in the HTML so search engines and no-JS browsers can read them without running client JavaScript.
Claude Code (local)
- Install Claude Code CLI
- Copy the command below, replace <placeholders> with real env values, then run in terminal
- See Environment variables below if listed
claude mcp add io-mcp-cn-task-master-ai --env ANTHROPIC_API_KEY=<ANTHROPIC_API_KEY> --env PERPLEXITY_API_KEY=<PERPLEXITY_API_KEY> --env OPENAI_API_KEY=<OPENAI_API_KEY> --env GOOGLE_API_KEY=<GOOGLE_API_KEY> --env MISTRAL_API_KEY=<MISTRAL_API_KEY> --env OPENROUTER_API_KEY=<OPENROUTER_API_KEY> --env XAI_API_KEY=<XAI_API_KEY> --env AZURE_OPENAI_API_KEY=<AZURE_OPENAI_API_KEY> --env OLLAMA_API_KEY=<OLLAMA_API_KEY> -- npx -y task-master-aiCursor — .cursor/mcp.json (local)
- Open or create .cursor/mcp.json in your project root
- Click Copy config and paste; merge only this mcpServers entry if others exist
- Replace <placeholders> in env with real secrets (see Environment variables below)
- Save, then Cmd+Shift+P → Reload Window
{
"mcpServers": {
"io-mcp-cn-task-master-ai": {
"command": "npx",
"args": [
"-y",
"task-master-ai"
],
"env": {
"ANTHROPIC_API_KEY": "<ANTHROPIC_API_KEY>",
"PERPLEXITY_API_KEY": "<PERPLEXITY_API_KEY>",
"OPENAI_API_KEY": "<OPENAI_API_KEY>",
"GOOGLE_API_KEY": "<GOOGLE_API_KEY>",
"MISTRAL_API_KEY": "<MISTRAL_API_KEY>",
"OPENROUTER_API_KEY": "<OPENROUTER_API_KEY>",
"XAI_API_KEY": "<XAI_API_KEY>",
"AZURE_OPENAI_API_KEY": "<AZURE_OPENAI_API_KEY>",
"OLLAMA_API_KEY": "<OLLAMA_API_KEY>"
}
}
}
}VS Code — .vscode/mcp.json (local)
- Install GitHub Copilot in VS Code with MCP support
- Open or create .vscode/mcp.json in your project root
- Click Copy config and paste; merge only this mcpServers entry if others exist
- Replace <placeholders> in env with real secrets
- Save and Developer: Reload Window
{
"mcpServers": {
"io-mcp-cn-task-master-ai": {
"command": "npx",
"args": [
"-y",
"task-master-ai"
],
"env": {
"ANTHROPIC_API_KEY": "<ANTHROPIC_API_KEY>",
"PERPLEXITY_API_KEY": "<PERPLEXITY_API_KEY>",
"OPENAI_API_KEY": "<OPENAI_API_KEY>",
"GOOGLE_API_KEY": "<GOOGLE_API_KEY>",
"MISTRAL_API_KEY": "<MISTRAL_API_KEY>",
"OPENROUTER_API_KEY": "<OPENROUTER_API_KEY>",
"XAI_API_KEY": "<XAI_API_KEY>",
"AZURE_OPENAI_API_KEY": "<AZURE_OPENAI_API_KEY>",
"OLLAMA_API_KEY": "<OLLAMA_API_KEY>"
}
}
}
}Claude Desktop — claude_desktop_config.json (local)
- Open Claude Desktop claude_desktop_config.json (see remote guide for paths)
- Click Copy config and merge under mcpServers
- Replace <placeholders> in env with real secrets
- Fully quit and restart Claude Desktop
{
"mcpServers": {
"io-mcp-cn-task-master-ai": {
"command": "npx",
"args": [
"-y",
"task-master-ai"
],
"env": {
"ANTHROPIC_API_KEY": "<ANTHROPIC_API_KEY>",
"PERPLEXITY_API_KEY": "<PERPLEXITY_API_KEY>",
"OPENAI_API_KEY": "<OPENAI_API_KEY>",
"GOOGLE_API_KEY": "<GOOGLE_API_KEY>",
"MISTRAL_API_KEY": "<MISTRAL_API_KEY>",
"OPENROUTER_API_KEY": "<OPENROUTER_API_KEY>",
"XAI_API_KEY": "<XAI_API_KEY>",
"AZURE_OPENAI_API_KEY": "<AZURE_OPENAI_API_KEY>",
"OLLAMA_API_KEY": "<OLLAMA_API_KEY>"
}
}
}
}Trae — .trae/mcp.json (local)
- Trae → Settings → MCP, or edit .trae/mcp.json / global mcp.json
- Click Copy config and merge mcpServers
- Replace <placeholders> in env with real secrets
- Save and reload Trae
{
"mcpServers": {
"io-mcp-cn-task-master-ai": {
"command": "npx",
"args": [
"-y",
"task-master-ai"
],
"env": {
"ANTHROPIC_API_KEY": "<ANTHROPIC_API_KEY>",
"PERPLEXITY_API_KEY": "<PERPLEXITY_API_KEY>",
"OPENAI_API_KEY": "<OPENAI_API_KEY>",
"GOOGLE_API_KEY": "<GOOGLE_API_KEY>",
"MISTRAL_API_KEY": "<MISTRAL_API_KEY>",
"OPENROUTER_API_KEY": "<OPENROUTER_API_KEY>",
"XAI_API_KEY": "<XAI_API_KEY>",
"AZURE_OPENAI_API_KEY": "<AZURE_OPENAI_API_KEY>",
"OLLAMA_API_KEY": "<OLLAMA_API_KEY>"
}
}
}
}Cherry Studio — MCP settings (local)
- Cherry Studio → Settings → MCP Servers → Add (STDIO)
- Or import JSON: click Copy config and merge mcpServers
- Replace <placeholders> in env; ensure Node.js / uv (npx, uvx) are installed
- Enable the server and check tools load
{
"mcpServers": {
"io-mcp-cn-task-master-ai": {
"command": "npx",
"args": [
"-y",
"task-master-ai"
],
"env": {
"ANTHROPIC_API_KEY": "<ANTHROPIC_API_KEY>",
"PERPLEXITY_API_KEY": "<PERPLEXITY_API_KEY>",
"OPENAI_API_KEY": "<OPENAI_API_KEY>",
"GOOGLE_API_KEY": "<GOOGLE_API_KEY>",
"MISTRAL_API_KEY": "<MISTRAL_API_KEY>",
"OPENROUTER_API_KEY": "<OPENROUTER_API_KEY>",
"XAI_API_KEY": "<XAI_API_KEY>",
"AZURE_OPENAI_API_KEY": "<AZURE_OPENAI_API_KEY>",
"OLLAMA_API_KEY": "<OLLAMA_API_KEY>"
}
}
}
}Tongyi Lingma — MCP config (local)
- Lingma Settings → MCP → + → STDIO or config file
- Click Copy config and merge mcpServers
- Replace <placeholders> in env; need Node.js 18+ (npx) or uv (uvx)
- Confirm connected before using tools in agent chat
{
"mcpServers": {
"io-mcp-cn-task-master-ai": {
"command": "npx",
"args": [
"-y",
"task-master-ai"
],
"env": {
"ANTHROPIC_API_KEY": "<ANTHROPIC_API_KEY>",
"PERPLEXITY_API_KEY": "<PERPLEXITY_API_KEY>",
"OPENAI_API_KEY": "<OPENAI_API_KEY>",
"GOOGLE_API_KEY": "<GOOGLE_API_KEY>",
"MISTRAL_API_KEY": "<MISTRAL_API_KEY>",
"OPENROUTER_API_KEY": "<OPENROUTER_API_KEY>",
"XAI_API_KEY": "<XAI_API_KEY>",
"AZURE_OPENAI_API_KEY": "<AZURE_OPENAI_API_KEY>",
"OLLAMA_API_KEY": "<OLLAMA_API_KEY>"
}
}
}
}Windsurf — mcp_config.json (local)
- Edit ~/.codeium/windsurf/mcp_config.json
- Click Copy config and merge mcpServers (stdio same as Cursor)
- Replace <placeholders> in env, save, refresh Cascade
{
"mcpServers": {
"io-mcp-cn-task-master-ai": {
"command": "npx",
"args": [
"-y",
"task-master-ai"
],
"env": {
"ANTHROPIC_API_KEY": "<ANTHROPIC_API_KEY>",
"PERPLEXITY_API_KEY": "<PERPLEXITY_API_KEY>",
"OPENAI_API_KEY": "<OPENAI_API_KEY>",
"GOOGLE_API_KEY": "<GOOGLE_API_KEY>",
"MISTRAL_API_KEY": "<MISTRAL_API_KEY>",
"OPENROUTER_API_KEY": "<OPENROUTER_API_KEY>",
"XAI_API_KEY": "<XAI_API_KEY>",
"AZURE_OPENAI_API_KEY": "<AZURE_OPENAI_API_KEY>",
"OLLAMA_API_KEY": "<OLLAMA_API_KEY>"
}
}
}
}Cline — MCP Servers (local)
- Cline panel → Settings → MCP Servers
- Click Copy config and merge
- Replace <placeholders> in env, then save
{
"mcpServers": {
"io-mcp-cn-task-master-ai": {
"command": "npx",
"args": [
"-y",
"task-master-ai"
],
"env": {
"ANTHROPIC_API_KEY": "<ANTHROPIC_API_KEY>",
"PERPLEXITY_API_KEY": "<PERPLEXITY_API_KEY>",
"OPENAI_API_KEY": "<OPENAI_API_KEY>",
"GOOGLE_API_KEY": "<GOOGLE_API_KEY>",
"MISTRAL_API_KEY": "<MISTRAL_API_KEY>",
"OPENROUTER_API_KEY": "<OPENROUTER_API_KEY>",
"XAI_API_KEY": "<XAI_API_KEY>",
"AZURE_OPENAI_API_KEY": "<AZURE_OPENAI_API_KEY>",
"OLLAMA_API_KEY": "<OLLAMA_API_KEY>"
}
}
}
}WorkBuddy — .workbuddy/mcp.json (local)
- Edit ~/.workbuddy/mcp.json (user) or project .workbuddy/mcp.json
- Or Plugins → MCP Servers → Configure MCP and paste the JSON below
- Replace <placeholders> in env; on Windows prefer absolute paths for command/scripts
- Save, restart WorkBuddy, confirm connector status is green
{
"mcpServers": {
"io-mcp-cn-task-master-ai": {
"command": "npx",
"args": [
"-y",
"task-master-ai"
],
"env": {
"ANTHROPIC_API_KEY": "<ANTHROPIC_API_KEY>",
"PERPLEXITY_API_KEY": "<PERPLEXITY_API_KEY>",
"OPENAI_API_KEY": "<OPENAI_API_KEY>",
"GOOGLE_API_KEY": "<GOOGLE_API_KEY>",
"MISTRAL_API_KEY": "<MISTRAL_API_KEY>",
"OPENROUTER_API_KEY": "<OPENROUTER_API_KEY>",
"XAI_API_KEY": "<XAI_API_KEY>",
"AZURE_OPENAI_API_KEY": "<AZURE_OPENAI_API_KEY>",
"OLLAMA_API_KEY": "<OLLAMA_API_KEY>"
}
}
}
}Troubleshooting & Common ErrorsFAQ
Common connection errors and verified fixes for 任务大师
Getting 'connection closed' or exit code 1 in Cursor / Claude Code for 任务大师?
Usually caused by missing runtime paths or IDE environment inheritance. Fix steps: 1. Verify Node.js 18+ (npx) or Python 3.10+ (uvx) is installed; 2. Run 'which npx' or 'which uvx' in terminal, and replace 'command' with absolute path; 3. Reload or restart the client window after modifying config.
# Check binary path in terminal: which npx node -v
Getting 'spawn npx ENOENT' or 'command not found'?
The editor background process does not inherit your full terminal PATH. Solution: Globally install the package, or set the absolute binary path (e.g. C:\Program Files\nodejs\npx.cmd on Windows, or /usr/local/bin/npx on macOS).
Missing required environment variable or authentication failure?
任务大师 requires environment variables (ANTHROPIC_API_KEY、PERPLEXITY_API_KEY、OPENAI_API_KEY、GOOGLE_API_KEY、MISTRAL_API_KEY、OPENROUTER_API_KEY、XAI_API_KEY、AZURE_OPENAI_API_KEY、OLLAMA_API_KEY). Ensure you have added valid keys under the 'env' object in your config file without trailing whitespace.
// .cursor/mcp.json 或 claude_desktop_config.json
{
"env": {
"ANTHROPIC_API_KEY": "your_actual_key_here"
}
}Tool Mock Playground
Sandbox任务大师 Tool Interface Simulation · Preview tool schema & outputs without local runtime
{
"target": "任务大师",
"action": "execute",
"options": {
"mode": "standard",
"timeoutMs": 5000
}
}Click 'Run Mock' above
to preview the raw response returned to the LLM
Decision Guide: Why & When to Use
Assess suitability before installing to save trial-and-error time
- Alerts
- Ticket sync
- Scheduled reports
- Financial actions without approval chains
任务大师 + Scenario Prompt → Complete Agent Automation
MCP hands-on: install to visible results
Follow the full lab (expected UI/output + contrast checks). After installing this item, verify with the tutorial prompts.
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Keep exploring AgentHub
Most people compare similar tools or check scenario guides before installing—start here.
Listing badge: put AgentHub on your site
Copy either snippet into your project homepage, docs, or GitHub README. The badge is a hotlinked SVG — nothing to host — and it links back to this page so visitors can find the install steps.
<a href="https://myagenthub.cn/p/io.mcp-cn.task-master-ai" title="Listed on AgentHub: 任务大师" target="_blank" rel="noopener">
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Unified Manifest
{
"id": "io.mcp-cn.task-master-ai",
"type": "mcp-server",
"version": "latest",
"displayName": "任务大师",
"description": "智能任务管理和自动化的MCP工具",
"author": {
"name": "Eyal Toledano"
},
"homepage": "https://mcp-cn.com/server/81",
"distribution": {
"packages": [
{
"registryType": "npm",
"identifier": "task-master-ai",
"runtimeHint": "npx",
"transport": "stdio",
"environmentVariables": [
{
"name": "ANTHROPIC_API_KEY",
"description": "<YOUR_ANTHROPIC_API_KEY_HERE>",
"isRequired": true,
"isSecret": true
},
{
"name": "PERPLEXITY_API_KEY",
"description": "<YOUR_PERPLEXITY_API_KEY_HERE>",
"isRequired": true,
"isSecret": true
},
{
"name": "OPENAI_API_KEY",
"description": "<YOUR_OPENAI_KEY_HERE>",
"isRequired": true,
"isSecret": true
},
{
"name": "GOOGLE_API_KEY",
"description": "<YOUR_GOOGLE_KEY_HERE>",
"isRequired": true,
"isSecret": true
},
{
"name": "MISTRAL_API_KEY",
"description": "<YOUR_MISTRAL_KEY_HERE>",
"isRequired": true,
"isSecret": true
},
{
"name": "OPENROUTER_API_KEY",
"description": "<YOUR_OPENROUTER_KEY_HERE>",
"isRequired": true,
"isSecret": true
},
{
"name": "XAI_API_KEY",
"description": "YOUR_XAI_KEY_HERE",
"isRequired": true,
"isSecret": true
},
{
"name": "AZURE_OPENAI_API_KEY",
"description": "YOUR_AZURE_KEY_HERE",
"isRequired": true,
"isSecret": true
},
{
"name": "OLLAMA_API_KEY",
"description": "YOUR_OLLAMA_API_KEY_HERE",
"isRequired": true,
"isSecret": true
}
]
}
],
"remotes": []
},
"dependencies": [],
"installTargets": [
"claude-code",
"claude-desktop",
"cursor",
"vscode",
"trae",
"cherry-studio",
"lingma",
"windsurf",
"cline",
"workbuddy"
],
"keywords": [
"use_count:98008",
"任务管理",
"工作流",
"自动化",
"效率工具"
],
"provenance": {
"origin": "mcp-cn",
"originalId": "task-master-ai",
"originalUrl": "https://mcp-cn.com/server/81",
"isOfficial": false,
"status": "active"
}
}