"Filesystem" matching MCP servers:

Provides LLM-optimized tools for advanced code analysis, repository complexity evaluation, and call graph generation. It enables users to visualize directory structures, detect code patterns, and build semantic context with significant token savings.

Provides LLM-optimized filesystem access with intelligent file pagination for large files, lightning-fast ripgrep-powered code search with regex support, and security sandboxing to safely explore and search codebases.

A production-ready MCP server enabling Claude and other LLMs to perform intelligent file operations with minimal token usage.

Connects AI assistants to GitHub repositories, pull requests, issues, commits, and code search while enabling repository visibility controls, CI/CD monitoring, sandboxed local filesystem access, and code quality/security analysis.

A FastMCP-based server that provides secure sandboxed filesystem operations, API integration tools, and curated reasoning prompts for analysis and productivity tasks.

Provides project management capabilities through terminal, web UI, or MCP stdio, including plans, code analysis, and filesystem-safe operations.

Enables read-only, allowlisted filesystem and Git inspection of explicitly configured local repositories through MCP, with bounded reads and no arbitrary path or write access.

Enables interaction with Microsoft SQL Server databases through a virtual filesystem interface, comprehensive stored procedure management with draft-test-deploy workflows, safe write operations with transaction control, and performance analysis capabilities.

Enables MCP-compatible LLM clients to access the Epiverse R package ecosystem, providing tools to list packages, retrieve package details and functions, search documentation and vignettes, and read source code directly from the local filesystem.

Provides a tool to extract and validate regex patterns from text content, including flags, positions, and ReDoS risk assessment. Enables AI agents to identify potentially dangerous regular expressions in code or files without needing filesystem access.

Enables AI assistants to introspect a Laravel application's routes, models, controllers, migrations, and more through the Model Context Protocol, running locally via php artisan commands and filesystem scanning.

An HTTP-based MCP server that provides filesystem tools and code analysis, enabling LLMs to read, write, list files, and analyze code securely.

An MCP server that exposes glob, grep, and list_repos tools over a folder containing multiple git repositories, allowing clients to search across repos by name without local filesystem access.

Enables local AI models to perform defensive cybersecurity analysis through narrowly scoped read-only tools for host posture, Windows security operations, file/IOC triage, code scanning, and allowlisted filesystem/network access while enforcing boundaries and audit trails.

Enables AI coding agents to inspect a project's design tokens and component catalog, audit React/Tailwind files against seven static UI quality rules, score overall UI health, and apply auto-fixes that are re-audited and reverted on regression. It works both locally over filesystem access and remotely on raw TSX/JSX or CSS snippets passed directly as strings.