"Files formatted in JSON" matching MCP servers:

A production-ready MCP server that enables AI assistants to execute shell commands, manage files, monitor system resources, and automate complex workflows with advanced features like stock tracking and web automation.

Enables MCP clients to run Hayabusa detection scans over Windows event log (.evtx) files for forensic analysis and threat hunting.

Provides the current date in multiple formats (e.g., European, ISO, US) via a simple MCP tool.

A persistent, stateful MCP server that exposes a detached tmux session to clients, enabling shell command execution, terminal buffer reading, and control signal sending via JSON-RPC over stdio.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Enables local forensic analysis of files by orchestrating system binaries (file, exiftool, strings, Volatility) via safe subprocess execution.

Enables AI assistants to execute shell commands and transfer files via SFTP across remote servers using existing SSH configurations. It supports parallel execution on server groups and provides built-in safety warnings for potentially destructive commands.

MCP server that gives Claude Desktop and other desktop MCP clients filesystem powers—read, write, edit, and manage files like AI coding assistants.

Enables AI assistants to manage remote servers via SSH with 14 commands for execution, file transfer, auditing, and monitoring.

Enables creating temporary Quarto projects, writing files into them, rendering documents, and inspecting project output over MCP, while managing reusable metadata defaults.

MCP server that lets AI agents use the Online Cyber Tools catalogue as a set of native MCP tools.

Connects AI tools to local dev servers, enabling them to view pages, call APIs, read/edit files, and run commands with safety guardrails.

Lets AI clients execute shell commands and transfer files on remote machines via configured aliases, while keeping credentials and audit logs local.

Enables AI agents to execute SSH commands, read files, and list directories on remote hosts with a configurable command-safety policy.

Runs commands on machines you cannot SSH into by publishing steps to a transport the far side already reaches (git, file share, S3, relay), then reads back a log with every line timestamped in UTC. Seven tools cover send, status, logs, stall detection and a pre-flight check.

Enables running SPICE netlists with ngspice in batch mode and returning .meas results as JSON.

Lets MCP-capable AI clients run commands and manage files on remote machines over SSH without installing anything remotely.

JSON-first Coreutils CLI for AI agents. 114 commands with sandbox, dry-run, and MCP zero-dependency server.

A credential-free MCP server offering developer utilities such as JSON formatting, regex testing, hashing, UUID generation, base64 transforms, and JWT inspection, with no network dependencies.

Runs AI-generated code in secure Firecracker microVMs with opt-in network policy enforcement, PII scanning, prompt injection defense, and audit logging. Exposes MCP tools for running commands, managing files, and the full sandbox lifecycle.