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

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

Enables AI agents to retrieve real-time data on wallet DeFi positions, token balances, and NFT holdings across multiple blockchains. It supports hundreds of protocols and provides specialized tools for chain-specific or protocol-specific portfolio analysis.

Enables local AI agents to generate and edit Figma designs via the Plugin API through a WebSocket relay, with no rate limits and all communication remaining local.

Enables AI assistants to read and modify Figma designs programmatically through the Model Context Protocol.

DevEyes is a Model Context Protocol (MCP) server that captures screenshots from your local development environment and automatically optimizes them for LLM consumption.

Enables AI assistants to fully interact with Asana, including creating and managing tasks, projects, time tracking, and search, all through natural language.

A small, readable MCP learning project implemented in TypeScript that uses a local JSON notebook to demonstrate core MCP features such as tools, resources, prompts, sampling, and notifications.

Enables MCP-compatible assistants to lint, format, render, parse, and migrate Carve documents directly from source text, without filesystem or network access.

Enables natural language control of live ArcGIS Pro sessions through the Model Context Protocol, allowing inspection of projects, layers, and attributes, and execution of geoprocessing tasks.

A Model Context Protocol server for the Quire project management platform, enabling AI assistants to securely interact with Quire projects, tasks, and data.

A task management MCP server for AI-driven development, enabling creation, tracking, and organization of tasks with subtasks, priorities, and dependencies via natural language commands.

Provides access to Shodan's IoT search engine API for device search, host intelligence, exploit database, network scanning, and security analysis through natural language.

A Model Context Protocol server for AI agents to manage tasks and track progress across projects, with features like project isolation, search, and reporting.

Local-first MCP server for Obsidian vaults with 66 tools for reading, writing, searching, and managing notes, tasks, graphs, and more. Works without Obsidian running and requires no plugins.

tdmcp is an open-source (MIT) Model Context Protocol server for TouchDesigner. You describe a visual in plain language and your AI assistant builds the real node network inside TouchDesigner, checks it for errors, and shows a preview — it ships an embedded operator knowledge base so the model uses real operators instead of guessing. TypeScript codebase, runs locally.

Provides comprehensive filesystem operations, text search/replace, image processing, and Tesseract OCR capabilities for AI agents via the Model Context Protocol.

An MCP server that enables AI assistants to directly control QGIS for tasks like layer management, feature editing, and map rendering. It provides a suite of 50 tools to execute processing algorithms and manage GIS projects through natural language commands.

A lightweight MCP server that enables AI assistants to execute local development tools and retrieve system status with low latency over stdio or HTTP.

An MCP server that provides AI clients with access to developer documentation via llms.txt files. Exposes tools, resources, and prompts.

A local-first, no-API-key MCP server that enables LLMs to search the web, fetch pages, and read documents using multiple engines and smart fallbacks.