ESA MCP Server Claude

The ESA MCP Server is a lightweight, Deno‑based bridge that lets Claude and other Model Context Protocol clients interact directly with the esa.io platform. By exposing a set of well‑defined MCP tools, it turns the rich REST API of esa.io into a first‑class capability that can be invoked from within an AI workflow. Developers who already use esa.io for knowledge management, project documentation, or internal wikis find this server invaluable because it removes the need to write custom integration code—AI assistants can simply call “get_user”, “list_articles”, or “create_article” as if they were native functions.

At its core, the server offers six fundamental operations: retrieving user information, listing all articles in a team, fetching article details by ID, creating new posts, updating existing ones, and deleting articles. Each operation is wrapped as an MCP tool with a clear input schema and response format, enabling type‑safe calls from the assistant. This abstraction allows developers to keep their content workflow in a single place while giving AI assistants fine‑grained control over document creation and maintenance. The server is intentionally minimal, focusing on the most common CRUD patterns so that it can be dropped into any project with just a few environment variables.

Integration is straightforward: the server listens for JSON‑RPC messages on stdin/stdout, so any MCP‑compatible client—such as Claude’s new tool‑use feature or the Cursor IDE—can launch it and send requests. In a typical setup, developers configure the server in a file or run it directly from JSR, providing the team name and personal access token via environment variables. Once running, the assistant can orchestrate complex document workflows: auto‑generate meeting notes, publish updates to a knowledge base, or pull user profiles for personalized responses—all without leaving the AI conversation.

The standout advantage of ESA MCP Server is its zero‑dependency footprint. Built on Deno and published to JSR, it requires no npm installation or build step; a single command brings the server online. This eliminates version drift and simplifies CI/CD pipelines, allowing teams to ship AI‑powered document automation quickly. Additionally, the server’s explicit permission model (, ) ensures that only the necessary network and environment access are granted, enhancing security while maintaining developer convenience.

In real‑world scenarios, product teams use the server to keep internal wikis up‑to‑date through conversational prompts, while support desks let agents create and edit help articles on the fly. Because every tool is exposed through MCP, the same server can be reused across multiple AI assistants or integrated into custom workflows that combine external APIs with internal data stores, making it a versatile asset for any organization that relies on esa.io for collaboration.