"Mock Service Worker" matching MCP servers:

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.

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.

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.

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.

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.

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.

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

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.

Gives AI assistants full control over a VPS via SSH, enabling command execution, file management, service control, Docker and firewall management.

A comprehensive Model Context Protocol server that enables AI assistants to interact with and manage Windows systems, providing capabilities for file system operations, process management, system information retrieval, registry operations, service management, network diagnostics, and performance monitoring.

An MCP server that enables users to download webpages as markdown files using r.jina.ai service, with features for configurable download directories and automatic date-stamped filenames.

Enables read-only access to multiple Google Drive accounts simultaneously through secure service account authentication. Supports listing, searching, and extracting content from Google Workspace documents, spreadsheets, and text files.

MCP server with 24 tools for live workspace state resolution. Pre-resolves git status, service health, file queries, memory federation, and multi-agent coordination into markdown before the AI sees it. Single-file Python (pyyaml only), MIT. Serves over stdio and SSE. Published as io.github.tcconnally/perseus on the MCP Registry.

Enables converting supported files and explicitly authorized public HTTPS pages into clean, structured Markdown through the Markovo service, with file access restricted to a configured root directory.