"Information or resources about fast-filesystem-mcp" matching MCP servers:

A completely stabilized filesystem MCP server optimized for Claude with overflow-proof design. Supports simultaneous multi-block editing with zero-failure guarantee, advanced error recovery, and performance-tuned parameters for maximum reliability.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

A filesystem MCP server that preserves file inode and metadata when writing or editing files, operating within allowed directories.

MCP Server that enables LLMs to interact with the local filesystem.

Enables reading, creating, and editing files on the local filesystem through operations like view, create, string replacement, and line insertion.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

A Model Context Protocol server that gives AI assistants secure, sandboxed filesystem access with tools for reading, writing, searching, and managing files and directories.

MCP server for performing filesystem operations, enabling file management and manipulation through natural language.

Standalone TypeScript MCP server for filesystem operations with robust security, encoding support, and cross-platform path handling.

Blazing-fast, asynchronous MCP server for seamless filesystem operations.

Provides advanced filesystem operations for AI-assisted development, including batch file reading, renaming, moving, project structure display, and command execution with Python virtual environment auto-activation.

A token-optimized filesystem MCP server that groups 14 tools into 6 semantic operations, enabling file creation, deletion, reading, moving, querying, and more with reduced context token consumption.

A professional MCP server that provides filesystem operations while automatically respecting .gitignore patterns, enabling efficient and token-friendly file access for Claude.

Provides secure filesystem access for AI assistants with optimizations like file reading limits and depth-limited traversal to improve token efficiency. It enables AI models to read, write, and search files within explicitly allowed directories while automatically skipping large system folders.

fast-pyairbyte lets you create a data pipeline in code ,from any Airbyte connector, with a single prompt.

A tuned filesystem MCP server for Codex-style development, offering fast file operations, bounded output, and safe edits.

Provides basic filesystem operations such as listing directories, reading/writing files, retrieving file info, and searching for files, enabling natural language file management.

Fast, token-efficient web content extraction tool that converts websites to clean Markdown for AI agents, featuring smart caching, content extraction with Mozilla Readability, and polite crawling capabilities.

A secure, highly capable MCP server written in Rust. It exposes a comprehensive suite of filesystem operations as tools for AI agents.