MCP Files

MCP Files

Provides a secure, constrained filesystem workspace for LLM agents to manage files, notes, and code artifacts via stdio or remote HTTP. It features granular access controls, including extension whitelisting, storage quotas, and immutable paths for safe automated file operations.

Category
Visit Server

README

MCP Files MCP Server

MCP Files exposes a constrained filesystem workspace (notes, knowledge bases, code artifacts) to LLM agents and automations. It supports stdio and remote HTTP mode.

Features

  • Tool suite for listing, reading, writing, patching, deleting, and stat’ing files and project directory helpers.
  • Per API key roots, extension whitelists, recursive-delete flags, quotas, and logging overrides.
  • Structured logging/tracing with per security domain toggles and optional dedicated log files.

Installation

Either from PyPi

pip install mcpfiles

or via

git clone git@github.com:tspspi/mcpfiles.git
pip install -e .

Quick Start

  1. Create a configuration file at ~/.config/mcpfiles.conf (or another path). Each entry in api_keys defines a root directory and permissions.
  2. Run in stdio mode (default):
    mcpfiles [--config ~/.config/mcpfiles.conf]
    
    This binds the server to the root defined in the stdio block.
  3. Run in remote HTTP mode:
    mcpfiles --remote
    
    The --remote flag is shorthand for --transport remotehttp and requires remote_server and api_keys blocks in the configuration file. Authentication accepts Authorization: Bearer, X-API-Key, or ?api_key= query string tokens.
  4. Generate or rotate an API key for an existing entry:
    mcpfiles --genkey knowledge-base
    
    The command prints the plaintext secret once once on stdout and patches the matching api_keys[].kdf configuration.

Logging & Tracing

  • Global defaults live under the top-level logging block. Per-key overrides inherit those defaults and may specify their own log file, categories (trace_access, trace_write, trace_delete, trace_metadata) and debug_all.
  • Each MCP tool invocation emits one structured log entry containing the key ID, optional project ID, category, path, status and compact metrics (bytes written, entries listed, etc.).

Configuration

The default path for the configuration file is ~/.config/mcpfiles.conf. This path can be overriden with --config /path/to/config.json. To generate API keys one can utilize

mcpfiles --genkey <id>

An example is shown below:

{
  "mode": "remotehttp",
  "stdio": {
    "root": "/srv/mcpfiles/stdio",
    "projects_enabled": false,
    "extension_whitelist": [".md", ".txt", ".json"],
    "mime_validation": true,
    "allow_nonempty_delete": false,
    "immutable_paths": ["reference"],
    "quota": { "soft_limit_bytes": 268435456, "hard_limit_bytes": 322122547 },
    "logging": { "level": "INFO", "trace_access": true, "trace_write": true }
  },
  "logging": {
    "level": "INFO",
    "logfile": "/var/log/mcpfiles/main.log",
    "trace_access": true,
    "trace_write": true,
    "trace_delete": false,
    "trace_metadata": false,
    "debug_all": false
  },
  "remote_server": {
    "transport": { "uds": "/var/run/mcpfiles.sock" }
  },
  "api_keys": [
    {
      "id": "knowledge-base",
      "kdf": { "...": "..." },
      "root": "/srv/mcpfiles/agentA",
      "projects_enabled": true,
      "extension_whitelist": [".md", ".txt"],
      "mime_validation": true,
      "allow_nonempty_delete": false,
      "immutable_paths": ["reference"],
      "quota": { "soft_limit_bytes": 536870912, "hard_limit_bytes": 644245094 },
      "logging": { "logfile": "/var/log/mcpfiles/agentA.log" }
    }
  ]
}

Workspace Model

  • Each stdio run is limited to the root resolved from the stdio block
  • Remote mode: Every API key maps to a root directory. When project_id is provided, the server resolves into <root>/.projects/<uuid>/. Access to .projects outside the requested UUID is denied.
  • An optional extension whitelist per root ensures agents only create/modify allowed file types (suffix checks plus optional file --mime-type verification when mime_validation is enabled).
  • Optional quotas (soft_limit_bytes, hard_limit_bytes) cap total storage consumption per key/project. Hard limits block writes. Soft limits only log events (no response flag), letting agents query usage on demand.
  • Hidden .metadata/usage.json directories store accounting data and are automatically excluded from MCP listings/reads. Manual tampering is prevented by treating .metadata as immutable.
  • Immutable paths (relative to the key/project root) can expose reference material while prohibiting writes; mutation requests targeting these paths return an authorization error.
  • Recursive deletions require allow_nonempty_delete=true in the key config; otherwise only empty directories can be removed.

FreeBSD Daemon Setup

  • Copy the sample rc.d script (contrib/freebsd/mcpfiles) into /usr/local/etc/rc.d/mcpfiles and make it executable:
install -m 755 contrib/freebsd/mcpfiles /usr/local/etc/rc.d/mcpfiles
  • Create a dedicated runtime account with no login shell (adjust UID/GID as needed):
pw useradd mcpfiles -d /nonexistent -s /usr/sbin/nologin
  • Configure the service in /etc/rc.conf:
mcpfiles_enable="YES"
mcpfiles_user="mcpfiles"
mcpfiles_group="mcpfiles"
mcpfiles_config="/usr/local/etc/mcpfiles.conf"
mcpfiles_transport="remotehttp"
mcpfiles_logfile="/var/log/mcpfiles/remote.log"
mcpfiles_env="FASTMCP_LOG_LEVEL=INFO"

The script automatically feeds those variables into daemon(8) so the service runs in the background with PID/log files under /var/run and /var/log. Override mcpfiles_env to pass extra environment variables (e.g., PYTHONPATH=/usr/local/lib/mcpfiles).

  • Manage the service via the standard rc interface: service mcpfiles start, service mcpfiles stop, service mcpfiles restart, service mcpfiles status. The required_files guard prevents startup when the config file is missing, mirroring the CLI’s existing validation.
  • Apply new API keys or quota rules without downtime via service mcpfiles reload, which sends SIGHUP to the daemon so it re-reads the configuration while keeping the existing TCP/UDS listener online.
  • To run the same configuration manually without installing the rc script, launch it with daemon(8) directly:
daemon -f -p /var/run/mcpfiles.pid -u mcpfiles -o /var/log/mcpfiles/remote.log \
  /usr/local/bin/mcpfiles --config /usr/local/etc/mcpfiles.conf --transport remotehttp

Use service mcpfiles reload after editing the configuration or rotating API keys so the running daemon re-reads the JSON without interrupting clients; reserve restart for listener changes (host/port/UDS) or code upgrades.

Connecting with Agents

Codex example (stdio mode)

[mcp_servers.mcpfiles]
command = "mcpfiles"
args = [
  "--config", "/home/exampleuser/.config/mcpfiles.conf"
]
startup_timeout_sec = 300

[mcp_servers.mcpfiles.env]
# Optional overrides, e.g. logging level or PYTHONPATH if running from source
FASTMCP_LOG_LEVEL = "INFO"

Codex example (remote mode)

[mcp_servers.mcpfiles]
url = "http://127.0.0.1:7889/mcp/mcp?api_key=XXXXXX"

JSON based MCP configuration

{
  "name": "mcpfiles",
  "type": "mcp",
  "transport": {
    "type": "http",
    "url": "http://127.0.0.1:8080/mcp",
    "headers": {
      "Authorization": "Bearer <PLAINTEXT_API_KEY>"
    }
  },
  "tools": {
    "allowed": [
      "list_dir",
      "read_file",
      "write_file",
      "apply_patch",
      "delete_file",
      "create_directory",
      "remove_directory",
      "get_metadata",
      "stat_tree"
    ]
  }
}

Salting the System Prompt

When giving the LLM these tools, include a short workspace contract in the system message. A possible example snippet:

You are operating inside a sandbox rooted at /srv/mcpfiles/agentA. All paths must remain inside this tree.
- Immutable paths: reference/, templates/ — treat them as read-only.
- Allowed extensions: .md, .txt, .json. Others will be rejected.
- Use list_dir/stat_tree/get_metadata to plan before writing. Large writes count against quota.
- apply_patch accepts Codex-style (*** Begin Patch …) or plain unified diff patches; include correct hunks so validation passes.
- Projects: pass project_id to work inside .projects/<uuid>.
- Typical workflow: list_dir -> read_file -> plan -> write_file/apply_patch -> get_metadata/stat_tree to verify.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured