pulsemcp Safe content atomic mcp-remote

WeChat

Automates WeChat interactions on macOS by leveraging the Accessibility API and screen capture technology. Built by Banghao Chi using PyObjC, this server enables message retrieval from chat conversations with intelligent sender detection through screenshot analysis, automated message sending via synthetic keyboard events, and contact management through search functionality. The implementation includes conversation history scrolling, structured JSON message formatting, and robust error handling for WeChat's dynamic UI elements. Useful for customer service automation, chat monitoring workflows, and programmatic WeChat messaging where direct API access is unavailable.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: monitoring
Source: PulseMCP
Repository: github.com/biboyqg/wechat-mcp
Author type: human
Updated: 2026-05-27

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MCP

Resolve WeChat from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"