WeCom
This MCP server implementation, developed by Hal, provides a Python server for WeCom (WeChat Work) bots following the Model Context Protocol. Built with FastAPI and leveraging libraries like fastmcp and httpx, it offers a streamlined interface for integrating WeCom bot functionality into MCP-based applications. The implementation focuses on simplicity and ease of use, making it ideal for developers looking to add enterprise messaging capabilities to their AI workflows. It supports core WeCom bot features and can be easily extended. This server is particularly useful for teams using WeCom who want to automate notifications, create interactive chatbots, or integrate AI-assisted communication tools within their existing enterprise messaging infrastructure.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- api-integration
- Source
- PulseMCP
- Repository
- github.com/loonghao/wecom-bot-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve WeCom 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--scope user for --scope project to commit it to .mcp.json.