Skip to main content
Glama
73,029 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

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

  • fast-filesystem-mcp

    efforthye
    A
    license
    B
    quality
    C
    maintenance
    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.
    25
    116
    60
    Apache 2.0

  • or-info

    jmtrs
    A
    license
    -
    quality
    B
    maintenance
    Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.
    445
    1
    MIT
  • Robot Resources Router by robot-resources

    Robot Resources Routerofficial

    robot-resources
    A
    license
    -
    quality
    F
    maintenance
    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.
    21
    1
    MIT

  • mcp-resources-giulia-ai

    wganalytics
    A
    license
    -
    quality
    C
    maintenance
    MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.
    MIT

  • filesystem

    X1pheR
    F
    license
    -
    quality
    C
    maintenance
    A filesystem MCP server that preserves file inode and metadata when writing or editing files, operating within allowed directories.

  • MCP-FileSystem

    dgholamian
    A
    license
    -
    quality
    C
    maintenance
    A Model Context Protocol server that gives AI assistants secure, sandboxed filesystem access with tools for reading, writing, searching, and managing files and directories.
    MIT

  • mcp-filesystem

    ceciliomichael
    A
    license
    -
    quality
    C
    maintenance
    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.
    24
    MIT

  • filesystem-slim

    mcpslim
    A
    license
    -
    quality
    D
    maintenance
    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.
    20
    MIT

  • filesystem-gitignore

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

  • K Filesystem MCP

    3mzKK
    A
    license
    -
    quality
    C
    maintenance
    A tuned filesystem MCP server for Codex-style development, offering fast file operations, bounded output, and safe edits.
    MIT

  • Filesystem MCP

    domdomegg
    A
    license
    -
    quality
    A
    maintenance
    Enables reading, creating, and editing files on the local filesystem through operations like view, create, string replacement, and line insertion.
    161
    3
    MIT

  • fast-mcp

    Blakeinstein
    A
    license
    -
    quality
    D
    maintenance
    A minimal MCP server starter template with a simple hello-world tool and Docker support for building AI assistant tools.
    The Unlicense

  • mcp-filesystem

    woyaofangjia
    F
    license
    -
    quality
    B
    maintenance
    Provides basic filesystem operations such as listing directories, reading/writing files, retrieving file info, and searching for files, enabling natural language file management.

  • Filesystem MCP

    codemaestroai
    F
    license
    -
    quality
    D
    maintenance
    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.
    3