pulsemcp Safe content atomic mcp-remote

Filesystem (Quarkus)

This Quarkus-based MCP server implementation provides a filesystem interface for AI models. Developed by the Quarkus team, it leverages Quarkus' fast startup and low memory footprint to offer efficient file system operations. The server includes dependencies for Jackson JSON processing, Qute templating, and Arc dependency injection. It supports both JVM and native compilation modes, with a Maven wrapper for easy building and running. This implementation is ideal for scenarios requiring AI models to interact with local file systems, such as automated file management, content organization, or data processing tasks, while benefiting from Quarkus' performance optimizations.

Cognium trust score

65%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: productivity
Source: PulseMCP
Repository: github.com/quarkiverse/quarkus-mcp-servers/tree/HEAD/filesystem
Author type: human
Updated: 2026-05-05

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MCP

Resolve Filesystem (Quarkus) from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"