pulsemcp verified Safe content atomic mcp-remote

Filesystem

This filesystem MCP server, developed by mark3labs, provides a secure interface for language models to interact with local filesystems. It enables AI agents to read, write, search, and manipulate files and directories through a controlled API. By restricting operations to specified directories, it maintains data security while allowing AI systems to work with file-based data and content. The server integrates with Claude Desktop and can be run standalone, offering deployment flexibility. This implementation is particularly useful for AI assistants designed to manage documents, analyze local datasets, or automate file organization tasks using the local filesystem as a backend.

Cognium trust score
89%
Tier
Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
devops-ci
Source
PulseMCP
Author type
human
Last scanned
2026-09-19
Updated
2026-09-19
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Use via MCP

MCP

Resolve Filesystem 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.

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