"Mock Service Worker" matching MCP servers:

Enables coding agents to offload reading and summarizing multiple large files to a cheaper worker LLM, keeping full file contents out of the main agent's context.

A local-first MCP server that handles daily work tasks through your AI assistant: converts meeting notes into todos, manages todo lifecycle, tracks work hours, generates daily/weekly reports, organizes files via move-only operations, and diagnoses dev environments, all guarded by a human-maintained preview/apply safety model.

Delegates heavy, repetitive, and verifiable tasks like PDF extraction, code analysis, and log processing to a local LLM to reduce token consumption for frontier AI models, while keeping decision-making with the main AI.

An MCP server that lets AI agents compress images, PDFs, video, audio, documents, and archives, writing the smaller versions back to disk via the MiCompress service.

Enables remote MCP clients to access local filesystem and shell commands by deploying a Cloudflare Worker relay and a local daemon, providing tools like read/write files, exec commands, git status, etc.

Enables any MCP client to delegate a scoped task to a local Ollama model that runs its own tool-calling loop for file operations and web search, with an allow-listed folder security model.

Provides a Dockerized MCP worker that gives Poke AI assistants persistent terminal control and filesystem access on your machine, with automatic tunnel connection and optional command notifications.

A desktop management platform for plugin management, log querying, service control, and packaging/deployment, with an MCP protocol bridge for AI clients.

Enables developers to build and run authenticated FastMCP servers with worker-thread execution for blocking tools, liveness probes, collision-safe file staging, and optional PDF/OCR helpers.

Provides full read and write access to Excel workbooks (sheets, cell ranges, tables, formulas, formatting, and cross-workbook references) via MCP, running locally or as an HTTP/SSE service.

Enables searching, retrieving, and managing files in Google Drive using a service account. Supports file search with query syntax, metadata retrieval, folder operations, file moving, and folder creation.

A service that provides programmatic access to qBittorrent's WebUI API, enabling management of torrents, trackers, tags, speed controls, and system information through natural language.

Enables LLMs to read and edit mock documents through custom MCP tools, resources, and prompts, allowing natural-language queries and modifications to document contents.

Connects LLM coding agents to Home Assistant instances, enabling configuration file management, service calls, template testing, and automation diagnostics via MCP tools.

Provides file-level exclusive locking across multiple Claude Code instances to prevent edit conflicts when multiple agents edit the same project simultaneously.

Local-first operator MCP server: recall across your own sessions, chats and files, an encrypted vault, SSH to your own hosts, and gated shell, browser and device tools. 130 tools over stdio or HTTP; everything runs on your machine — no hosted service, no account, no API key.

Provides LLMs with access to molt-md, an encrypted markdown document hosting service, for managing and reading secure knowledge bases. It enables users to create, update, and organize encrypted documents into workspaces with full version control and end-to-end encryption.

Enables natural-language diagnosis of Linux system issues by providing sandboxed, typed tools for system, service, filesystem, and git inspection, with human approval for mutating actions.

Local multi-package manager cache cleaning MCP service that safely discovers, previews, and cleans caches for Maven, pnpm, npm, yarn, pip, uv, and Go.

Enables AI assistants to search local files and folders via the Everything search engine, with support for advanced queries, file metadata, text previews, and service status.