Erick Wendel Contributions MCP

Erick Wendel Contributions MCP is a purpose‑built Model Context Protocol server that aggregates the public output of developer Erick Wendel—talks, blog posts and videos—from multiple platforms into a single, queryable API. The server solves the common developer pain of hunting for specific content across disparate sources such as YouTube, Dev.to, Medium and personal blogs. By exposing a unified set of tools (, , , and ) the MCP allows AI assistants to retrieve, filter and analyze this material with natural language prompts, eliminating manual browsing and copy‑paste work.

The value proposition for developers using AI assistants is twofold. First, the server gives Claude, Cursor and other MCP‑compatible agents instant access to a curated knowledge base that is continuously updated as new talks, posts or videos are published. Second, the tools support rich filtering—by ID, title, language, city, country, year or portal—and pagination, enabling precise queries such as “list all talks in Portuguese about micro‑services from 2023” or “count videos by language.” The tool provides a lightweight health check that lets workflows fail fast if the underlying data source is unreachable.

Key capabilities of the server include:

• Unified search across multiple content types with a consistent API surface.
• Fine‑grained filtering and pagination to handle large result sets efficiently.
• Aggregated counts that can be used for trend analysis or reporting dashboards.
• Health monitoring through , ensuring reliability in production AI pipelines.

Typical use cases span a range of real‑world scenarios: a product manager querying the latest talks on distributed systems to inform roadmap discussions; an educator building a curriculum around Erick Wendel’s videos; or a content strategist measuring the reach of blog posts across portals. In each case, AI assistants can ask a single natural‑language question and receive structured data that can be further processed or visualized.

Integration into AI workflows is straightforward. Once the MCP server is running, developers can add it to Cursor or Claude Desktop via Smithery or manual configuration. Agents then automatically expose the tools in their tool library, allowing prompts like “Show me all 2024 JavaScript videos” to be executed without leaving the chat interface. The server’s design emphasizes low friction: a single command launch, minimal configuration, and no need for API keys because the data is publicly available. This makes it an attractive choice for teams that want to enrich their AI interactions with domain‑specific, up‑to‑date content without building custom scrapers or maintaining separate data pipelines.