"Local small language model for filesystem and network tasks" matching MCP servers:

A FastMCP server providing comprehensive file system, Docker, and Git operations with concurrency safety and dual transport support.

TypeScript stdio MCP server for operating Docker-based local-ydb deployments from AI coding agents. Supports local and SSH-backed profiles, bootstrap, diagnostics, auth hardening, schema permissions, storage workflows, dump/restore, upgrades, and plan-first mutating operations.

Create sandboxed local development environments directly from Github and execute tests, see coverage and more! Supports Python, Node, Bun and many test runners.

Enables AI assistants to interact with local Docker containers, Kubernetes clusters, and system logs using the Model Context Protocol.

MCP server that turns natural-language requests into configured n8n workflows and safely operates a local n8n Docker stack, including workflow management, API access, and Docker lifecycle operations with confirmation-based safety.

Enables Docker container management through natural language conversations, including deployment, health monitoring, dependency resolution, auto-redeployment on file changes, and environment snapshots.

Enables Docker container management and test execution via MCP tools, supporting image building, container operations, and automated test runs.

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

Enables AI-powered network engineering by providing natural language control over GNS3 network simulations. Supports creating projects, building network topologies, managing devices, controlling simulations, and analyzing network traffic through conversational AI interactions.

A Node.js application that provides a JSON-RPC interface to interact with CO2 sensor data, working in both simulation mode and with real Raspberry Pi Pico hardware connections.

MCP server for controlling PNETLab v6 network labs via natural language, enabling topology creation, node management, config push, console interaction, and link fault injection.

Enables AI agents to interact with Kubernetes clusters through progressive disclosure, where agents discover TypeScript modules via filesystem, write and execute code, and receive summarized console output for cluster management tasks.

Enables AI coding agents to safely execute code, run tests, and build projects inside disposable Docker sandboxes, protecting the host machine through enforced isolation, filesystem snapshots, and network controls.

MCP server that wraps the vmm-api CLI to enable listing and managing VMM network topologies through natural language.

An MCP server for TrueNAS that lets users manage ZFS pools, datasets, shares, snapshots, VMs, alerts, and network configuration through natural language, using a single hierarchical tool exposing 278 actions.

Enables querying local MySQL databases and managing Docker containers (listing, logs) through natural language via the Model Context Protocol.

Enables AI assistants to run Kali Linux security tools in an isolated Docker container for tasks like network scanning, port checking, and service enumeration.

MCP server for controlling EVE-NG network emulator instances via REST API, enabling lab/node/network management, topology editing, and device operations through natural language.

Enables MCP-compatible clients like Claude Desktop, Claude Code, Codex, and local-model hosts to inspect Proxmox VE clusters, nodes, VMs, containers, storage, snapshots, and tasks, with opt-in write operations for starting, stopping, cloning, backing up, and migrating guests. Read-only by default, it supports both stdio and Streamable HTTP transports.

Enables AI agents to manage WSL containers and images via the wslc CLI, supporting container lifecycle, network, volume, and registry operations through natural language.