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.
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
- Repository
- github.com/mark3labs/mcp-filesystem-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via 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 --scope user for --scope project to commit it to .mcp.json.