What are the runtime requirements?
Node.js 18 or higher and npm or yarn are required.
@fmicalizzi
Basic information
MCP server for reading JSON knowledge bases without modifications
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
It is a Model Context Protocol (MCP) server that reads a structured JSON knowledge base and makes its information available to Claude or other LLMs. It is designed for users who want to provide a curated, static knowledge base to an AI assistant without modifying the underlying data.
Install Node.js 18 or higher, clone the repository, install dependencies, and compile the TypeScript code (npm run build). Then configure it in your MCP client (e.g., Claude Desktop) by adding an entry to claude_desktop_config.json with the compiled script path and the KNOWLEDGE_BASE_PATH environment variable set to the absolute path of your JSON file. After configuration, the server’s tools become available for the LLM to call.
Node.js 18 or higher and npm or yarn are required.
Add an entry to `claude_desktop_config.json` with the command set to `node`, args pointing to the absolute path of the compiled `dist/index.js`, and the environment variable `KNOWLEDGE_BASE_PATH` set to the absolute path of your JSON knowledge base file.
This usually happens when paths are not absolute or incorrect, the compiled JavaScript file doesn’t exist at the specified location, or the user lacks execution permissions. Verify all paths and permissions.
No. The server operates in read-only mode. It only retrieves information and never writes to the JSON file.
It exposes seven tools: `read_knowledge_base`, `search_entries`, `get_entry_by_id`, `get_entries_by_category`, `get_entries_by_tags`, `get_related_entries`, and `get_knowledge_stats`.

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