What error does this configuration fix?
It fixes the `ERR_MODULE_NOT_FOUND` error that occurs when the `zod-to-json-schema` module cannot be resolved, preventing the MCP server from starting.
@rvjwhite
Basic information
Fixed configuration for Model Context Protocol server with proper dependencies
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.
MCP Server Configuration is a fixed configuration repository for the Model Context Protocol (MCP) server that resolves the ERR_MODULE_NOT_FOUND error related to the zod-to-json-schema dependency. It is intended for developers using the @modelcontextprotocol/server-filesystem package who encounter that import issue.
Clone the repository, run npm install to install dependencies, then start the server with npm start. An alternative quick fix involves creating a new Node.js project, installing @modelcontextprotocol/server-filesystem, zod, and zod-to-json-schema explicitly, adding "type": "module" to package.json, and creating a simple index.js that imports and creates the server.
ERR_MODULE_NOT_FOUND for zod-to-json-schemaIt fixes the `ERR_MODULE_NOT_FOUND` error that occurs when the `zod-to-json-schema` module cannot be resolved, preventing the MCP server from starting.
The repository requires `@modelcontextprotocol/server-filesystem`, `zod`, and `zod-to-json-schema` as explicit dependencies, plus `"type": "module"` in `package.json`.
After following the installation steps, run `npm start` to start the MCP server.
Yes. The README describes an alternative manual fix: create a new Node.js project, install the three required packages, enable ES modules, and create a minimal entry file.

Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.

Verified distributed compute for humans, applications, and agents. Submit Blender, Octane, and video workloads, route them across qualified GPUs, track asynchronous execution, download finished artifacts, and verify FARP

Windframe MCP gives your AI the design taste needed to create consistent, production-ready UI that feels intentionally designed. Available at https://windframe.dev/mcp

SSH MCP server for AI agents: remote commands, file transfer, log search and server audits through OpenSSH.

The tools your AI needs to make your games. Turn prompts into production-ready game assets — animated characters with their weapons attached, seamless textures, terrain, VFX, HUDs — and playable game kits Unity, Godot, U
Comments