MCP TabNews

The MCP TabNews Integration bridges Claude and other AI assistants with the TabNews platform, enabling developers to fetch news content, analytics, and status information directly from an AI conversation. TabNews is a modern open‑source content publishing system, and this MCP server turns its RESTful endpoints into callable tools that can be invoked by language models. By exposing a concise set of operations—such as retrieving articles, comments, RSS feeds, and analytics—the server removes the need for developers to write custom HTTP clients or handle authentication manually.

For AI‑centric workflows, this server is a valuable asset. Developers can embed real‑time news data into chatbot responses, build recommendation engines that surface the latest TabNews stories, or monitor content performance without leaving their AI toolchain. The server’s tools are designed with clarity: each one accepts a small, well‑defined set of parameters (e.g., user ID, slug, or content ID) and returns structured JSON that can be parsed or further processed by downstream models. This tight integration allows assistants to answer questions like “Show me the latest posts from user X” or “What is the engagement rate for my last article?” with minimal latency.

Key capabilities include:

• Status checks to verify API availability before making requests.
• Content retrieval tools that fetch article bodies, metadata, or comments by user or slug.
• Analytics endpoints that expose readership metrics for both root and child content, empowering data‑driven decision making.
• RSS feed extraction to keep models up to date with the newest posts.

Real‑world scenarios benefit from this MCP server in several ways. A marketing team could ask an AI assistant to pull the most recent posts and their performance metrics, streamlining reporting. A news aggregator might use the content tools to populate a feed with fresh stories from multiple TabNews authors. Even educational projects can leverage the server to demonstrate how AI interacts with external APIs, providing a hands‑on example of structured data retrieval.

Integration is straightforward: the server exposes its tools via standard I/O, making it compatible with any MCP‑compliant client—Cursor, Claude Desktop, or custom tooling. Once the server is running, developers simply reference it in their client’s MCP configuration and invoke tools by name. The type‑safe, Zod‑validated implementation ensures that requests and responses adhere to expected schemas, reducing runtime errors. Overall, the MCP TabNews Integration offers a clean, reusable bridge that unlocks TabNews data for AI assistants, enhancing productivity and enabling richer conversational experiences.