Tencent Cloud Developer Community Article Publish MCP Server

The Tencent Send Article MCP Server is a specialized Model Context Protocol (MCP) endpoint that bridges AI assistants with the Tencent Cloud Developer Community. It resolves a common pain point for content creators and automation engineers: publishing articles, managing metadata, and configuring community‑specific settings without manual interaction. By exposing a set of well‑defined resources over MCP, the server allows an AI assistant—such as Claude—to issue high‑level commands that translate directly into HTTP requests against the Tencent community’s backend. This eliminates repetitive copy‑and‑paste, reduces human error, and accelerates the content workflow.

At its core, the server accepts a single “add article” request that encapsulates all of the parameters required by Tencent’s API: source type, classification IDs, tags, long‑tail keywords, column identifiers, comment settings, link policies, cover images, and more. The MCP interface abstracts these details behind a clean JSON schema, enabling developers to focus on business logic rather than API quirks. Once the AI assistant sends the structured request, the server forwards it via a Retrofit client to Tencent’s endpoint, handles authentication through a cookie supplied by the user, and returns a concise success or error response. This tight coupling between MCP and Retrofit ensures low latency and robust error handling.

Key capabilities include:

• Automated article publishing – schedule or trigger posts directly from an AI workflow.
• Rich metadata management – set categories, tags, and long‑tail keywords programmatically.
• Community configuration control – enable or disable comments, link restrictions, and target specific columns.
• Image handling – specify cover images via URLs, simplifying media integration.

These features make the server ideal for a range of real‑world scenarios: a continuous‑integration pipeline that posts release notes to the community, a chatbot that answers developer questions by automatically publishing FAQ articles, or a data‑driven content strategy tool that pushes analytics reports as blog posts. In each case, the MCP server eliminates manual steps and guarantees consistency across deployments.

Integration into AI workflows is straightforward. An MCP client—configured in “STDIO” mode or via a TCP socket—can issue the command as part of a larger conversation. The AI assistant can compose the article, determine appropriate tags and columns, and then invoke the MCP server to publish. Because the server handles authentication and request formatting internally, developers can focus on natural‑language prompts and content generation without worrying about session cookies or API signatures. The result is a seamless, end‑to‑end automation loop that empowers developers to deliver high‑quality content faster and more reliably.