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

Evaluates task suitability for local models before cloud API calls, routing to Ollama or similar to reduce costs.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

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

A Model Context Protocol server providing network diagnostic tools for AI agents, including connectivity testing, batch operations, local network info, and pcap analysis.

Enables AI coding agents to interact with TypeScript projects through compiler-level code intelligence, providing tools for navigation, type information, diagnostics, refactoring, and semantic search.

An MCP server that seats multiple LLMs as a council, letting your assistant query them in parallel or in sequence, relay answers for cross-critique, and merge conclusions within one conversation.

Enables AI assistants to understand lab topologies, follow operational principles, and interact with real network devices through observable terminals while keeping private access information hidden.

Local-first MCP server that lets AI agents design Cisco-style networks and generate L1/L2/L3 topology diagrams, device tables, and AI-ready context files.

MCP server that pings 130+ free coding LLM models across 17 providers in real-time, ranks them by latency, and helps AI agents pick the fastest available model.

Provides read-only access to UniFi Network consoles for sites, devices, clients, vouchers, networks, Wi-Fi, and firewall configuration, with optional opt-in tools for controlled write operations and legacy controller support.

Discovers local model runtimes such as Ollama, LM Studio, and LocalAI, and exposes their endpoint metadata to MCP clients like Copilot.

Local MCP server that lets Claude Code delegate bounded, read-only tasks to external AI models (Codex, Grok, local OpenAI-compatible servers) via CLIProxyAPI.

Enables AI coding agents to read Microsoft Planner and To Do tasks across multiple M365 tenants with proper authentication, and supports optional write operations limited to tasks the agent created.

Enables reading, writing, appending, and listing files, restricted to explicitly allowed directories with safety checks against path traversal and symlink escapes.

Provides MCP tools for governed multi-vendor network device operations, including configuration management (backup, diff, merge, replace, rollback) and read-only queries (facts, interfaces, BGP, LLDP, ARP) via NAPALM, with optional NetBox source-of-truth integration.

Exposes Linux filesystem operations as tools for LLM agents, with configurable root directory and read-only mode, built with FastMCP.

Enables advanced file system operations such as file read/write, directory management, search, archiving, and file watching through natural language.

Persistent 3D/2D spatial world model MCP server for AI agents. Entity tracking, object permanence, AABB collision simulation & view frustum projection via local SQLite.

Provides local hybrid search over files by combining semantic vector and full-text BM25 retrieval, with MCP stdio/HTTP support, OAuth 2.1 authentication, and tools for reading and converting documents to Markdown.

Enables any MCP-compatible client to perform filesystem operations — reading, listing, writing, searching, watching directories, and batch processing files — over JSON-RPC 2.0 stdio transport. Includes resource discovery, metrics tracking, and security controls such as allowed roots, size limits, and format allowlists, with a LangGraph agent that accesses files exclusively through MCP.