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weapp-agent MCP Setup & Guide

MCP ServerMCP RegistryOfficial

io.github.Chaixueyuan/weapp-agent-mcp · v0.4.8

Agent-first MCP server for WeChat Mini Program debugging & automation via WeChat DevTools.

Copy the install config on this page first, then verify docs and permissions upstream.

Overview

Agent-first MCP server for WeChat Mini Program debugging & automation via WeChat DevTools. weapp-agent-mcp is a MCP Server listed from MCP Registry. 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

Verified At2026-10-04
Install Snippets TestedCLI & JSON config syntax verified
Protocol Handshake ReadyComplies with JSON-RPC 2.0 specifications
Origin Registry ActiveSourced from official-mcp-registry
Verified ClientsClaude Code、Claude Desktop、Cursor 等
Security Tier: A+ 级 · 官方认证推荐 (A+)·Maintained by official/verified teams, audited for standard MCP protocol compliance.

Copy by platform

Choose your platform

  1. Open or create .cursor/mcp.json in your project root
  2. Click Copy config and paste; merge only this mcpServers entry if others exist
  3. Replace <placeholders> in env with real secrets (see Environment variables below)
  4. Save, then Cmd+Shift+P → Reload Window

Pre-fill Environment Variables (Optional)

secret
secret
Privacy Guarantee: Keys are replaced 100% locally in your browser memory and are NEVER uploaded or stored on any server.
Click to copy snippet
{
  "mcpServers": {
    "weapp-agent-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@chaixueyuan/weapp-agent-mcp"
      ]
    }
  }
}

Setup tutorial

  1. Open the weapp-agent-mcp page and confirm this MCP Server (source: MCP Registry).
  2. Copy the Cursor, Claude Code, or VS Code snippet.
  3. Merge it into mcpServers and replace env placeholders with real secrets.
  4. 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)

  1. Install Claude Code CLI
  2. Copy the command below, replace <placeholders> with real env values, then run in terminal
  3. See Environment variables below if listed
claude mcp add weapp-agent-mcp -- npx -y @chaixueyuan/weapp-agent-mcp

Cursor — .cursor/mcp.json (local)

  1. Open or create .cursor/mcp.json in your project root
  2. Click Copy config and paste; merge only this mcpServers entry if others exist
  3. Replace <placeholders> in env with real secrets (see Environment variables below)
  4. Save, then Cmd+Shift+P → Reload Window
{
  "mcpServers": {
    "weapp-agent-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@chaixueyuan/weapp-agent-mcp"
      ]
    }
  }
}

VS Code — .vscode/mcp.json (local)

  1. Install GitHub Copilot in VS Code with MCP support
  2. Open or create .vscode/mcp.json in your project root
  3. Click Copy config and paste; merge only this mcpServers entry if others exist
  4. Replace <placeholders> in env with real secrets
  5. Save and Developer: Reload Window
{
  "mcpServers": {
    "weapp-agent-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@chaixueyuan/weapp-agent-mcp"
      ]
    }
  }
}

Claude Desktop — claude_desktop_config.json (local)

  1. Open Claude Desktop claude_desktop_config.json (see remote guide for paths)
  2. Click Copy config and merge under mcpServers
  3. Replace <placeholders> in env with real secrets
  4. Fully quit and restart Claude Desktop
{
  "mcpServers": {
    "weapp-agent-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@chaixueyuan/weapp-agent-mcp"
      ]
    }
  }
}

Trae — .trae/mcp.json (local)

  1. Trae → Settings → MCP, or edit .trae/mcp.json / global mcp.json
  2. Click Copy config and merge mcpServers
  3. Replace <placeholders> in env with real secrets
  4. Save and reload Trae
{
  "mcpServers": {
    "weapp-agent-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@chaixueyuan/weapp-agent-mcp"
      ]
    }
  }
}

Cherry Studio — MCP settings (local)

  1. Cherry Studio → Settings → MCP Servers → Add (STDIO)
  2. Or import JSON: click Copy config and merge mcpServers
  3. Replace <placeholders> in env; ensure Node.js / uv (npx, uvx) are installed
  4. Enable the server and check tools load
{
  "mcpServers": {
    "weapp-agent-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@chaixueyuan/weapp-agent-mcp"
      ]
    }
  }
}

Tongyi Lingma — MCP config (local)

  1. Lingma Settings → MCP → + → STDIO or config file
  2. Click Copy config and merge mcpServers
  3. Replace <placeholders> in env; need Node.js 18+ (npx) or uv (uvx)
  4. Confirm connected before using tools in agent chat
{
  "mcpServers": {
    "weapp-agent-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@chaixueyuan/weapp-agent-mcp"
      ]
    }
  }
}

Windsurf — mcp_config.json (local)

  1. Edit ~/.codeium/windsurf/mcp_config.json
  2. Click Copy config and merge mcpServers (stdio same as Cursor)
  3. Replace <placeholders> in env, save, refresh Cascade
{
  "mcpServers": {
    "weapp-agent-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@chaixueyuan/weapp-agent-mcp"
      ]
    }
  }
}

Cline — MCP Servers (local)

  1. Cline panel → Settings → MCP Servers
  2. Click Copy config and merge
  3. Replace <placeholders> in env, then save
{
  "mcpServers": {
    "weapp-agent-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@chaixueyuan/weapp-agent-mcp"
      ]
    }
  }
}

WorkBuddy — .workbuddy/mcp.json (local)

  1. Edit ~/.workbuddy/mcp.json (user) or project .workbuddy/mcp.json
  2. Or Plugins → MCP Servers → Configure MCP and paste the JSON below
  3. Replace <placeholders> in env; on Windows prefer absolute paths for command/scripts
  4. Save, restart WorkBuddy, confirm connector status is green
{
  "mcpServers": {
    "weapp-agent-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@chaixueyuan/weapp-agent-mcp"
      ]
    }
  }
}

Troubleshooting & Common ErrorsFAQ

Common connection errors and verified fixes for weapp-agent-mcp

Getting 'connection closed' or exit code 1 in Cursor / Claude Code for weapp-agent-mcp?

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.

Fix Snippet
# 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?

weapp-agent-mcp requires environment variables (WEAPP_WS_ENDPOINT、WEAPP_AUTOMATOR_MODE、WEAPP_PROJECT_PATH、WECHAT_DEVTOOLS_CLI_PATH、WEAPP_DEVTOOLS_PORT、WEAPP_DEVTOOLS_TIMEOUT、WEAPP_AUTO_ACCOUNT、WEAPP_DEVTOOLS_TICKET、WEAPP_TRUST_PROJECT、WEAPP_DEVTOOLS_ARGS、WEAPP_DEVTOOLS_CWD、WEAPP_AUTOCLOSE、WEAPP_AUTOLAUNCH、WEAPP_LAUNCH_TIMEOUT、WEAPP_CONNECT_TIMEOUT). Ensure you have added valid keys under the 'env' object in your config file without trailing whitespace.

Fix Snippet
// .cursor/mcp.json 或 claude_desktop_config.json
{
  "env": {
    "API_KEY": "your_actual_key_here"
  }
}

Tool Mock Playground

Sandbox

weapp-agent-mcp Tool Interface Simulation · Preview tool schema & outputs without local runtime

Sandbox Ready
fn: weapp_agent_mcpExecute the core tool interface of weapp-agent-mcp
Request ArgumentsJSON Schema
{
  "target": "weapp-agent-mcp",
  "action": "execute",
  "options": {
    "mode": "standard",
    "timeoutMs": 5000
  }
}
💡Parameters generated dynamically by Agent runtime
Agent Tool Output

Click 'Run Mock' above

to preview the raw response returned to the LLM

Env: AgentHub Virtual SandboxJSON-RPC 2.0

Decision Guide: Why & When to Use

Assess suitability before installing to save trial-and-error time

Best Suited For
  • PR review
  • Changelog generation
  • Cross-repo issue search
When NOT to Use
  • Replacing human security audit
  • Unauthorized repo access
Recommended Workflow Pairing:View Scenario →

weapp-agent-mcp + 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.

Open tutorial →

Related resources

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Markdown (GitHub README)
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Unified Manifest

{
  "id": "io.github.Chaixueyuan/weapp-agent-mcp",
  "type": "mcp-server",
  "version": "0.4.8",
  "displayName": "weapp-agent-mcp",
  "description": "Agent-first MCP server for WeChat Mini Program debugging & automation via WeChat DevTools.",
  "repository": {
    "url": "https://github.com/Chaixueyuan/weapp-agent-mcp",
    "source": "github"
  },
  "distribution": {
    "packages": [
      {
        "registryType": "npm",
        "identifier": "@chaixueyuan/weapp-agent-mcp",
        "version": "0.4.8",
        "transport": "stdio",
        "environmentVariables": [
          {
            "name": "WEAPP_WS_ENDPOINT",
            "description": "Automation WebSocket endpoint for the 'connect' flow (e.g. ws://localhost:9420). When a local endpoint is not listening and auto-launch is enabled, mp_ensureConnection may start DevTools if it can resolve a project."
          },
          {
            "name": "WEAPP_AUTOMATOR_MODE",
            "description": "Force 'launch' or 'connect' mode. Defaults to 'launch' unless WEAPP_WS_ENDPOINT is set."
          },
          {
            "name": "WEAPP_PROJECT_PATH",
            "description": "Optional Mini Program project directory used by launch and local auto-launch flows. The server can also resolve a persisted default, a recent project, or the current working directory."
          },
          {
            "name": "WECHAT_DEVTOOLS_CLI_PATH",
            "description": "Optional override for the WeChat DevTools CLI binary path (e.g. /Applications/wechatwebdevtools.app/Contents/MacOS/cli on macOS)."
          },
          {
            "name": "WEAPP_DEVTOOLS_PORT",
            "description": "Automation websocket port passed to 'cli auto --auto-port' in launch mode (default 9420)."
          },
          {
            "name": "WEAPP_DEVTOOLS_TIMEOUT",
            "description": "Milliseconds passed to miniprogram-automator when launching WeChat DevTools."
          },
          {
            "name": "WEAPP_AUTO_ACCOUNT",
            "description": "Optional account passed to miniprogram-automator launch.",
            "isSecret": true
          },
          {
            "name": "WEAPP_DEVTOOLS_TICKET",
            "description": "Optional DevTools launch ticket.",
            "isSecret": true
          },
          {
            "name": "WEAPP_TRUST_PROJECT",
            "description": "Whether launch mode should trust the project. Accepts true/false, 1/0, yes/no, or on/off."
          },
          {
            "name": "WEAPP_DEVTOOLS_ARGS",
            "description": "Additional whitespace-separated CLI arguments passed during launch."
          },
          {
            "name": "WEAPP_DEVTOOLS_CWD",
            "description": "Optional working directory passed to the DevTools launch process."
          },
          {
            "name": "WEAPP_AUTOCLOSE",
            "description": "Whether to close or disconnect the automator session after each tool call. Accepts true/false, 1/0, yes/no, or on/off."
          },
          {
            "name": "WEAPP_AUTOLAUNCH",
            "description": "Allow mp_ensureConnection to launch local WeChat DevTools with cli auto when the configured local automation port is not listening. Defaults to enabled; set false to disable."
          },
          {
            "name": "WEAPP_LAUNCH_TIMEOUT",
            "description": "Milliseconds to wait for a locally auto-launched automation port (default 45000)."
          },
          {
            "name": "WEAPP_CONNECT_TIMEOUT",
            "description": "Milliseconds to wait for an automator websocket connection (default 45000)."
          }
        ]
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "claude-code",
    "claude-desktop",
    "cursor",
    "vscode",
    "trae",
    "cherry-studio",
    "lingma",
    "windsurf",
    "cline",
    "workbuddy"
  ],
  "keywords": [],
  "provenance": {
    "origin": "official-mcp-registry",
    "originalId": "io.github.Chaixueyuan/weapp-agent-mcp",
    "originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.Chaixueyuan%2Fweapp-agent-mcp/versions/latest",
    "isOfficial": true,
    "status": "active"
  }
}
weapp-agent MCP Setup & Guide - AgentHub