"H&M" matching MCP servers:

A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.

Enables users to index local Markdown articles and then search, filter, list, and retrieve them through MCP tools while keeping all content on the local machine.

Enables AI assistants to read, edit, and execute Jupyter notebook files (.ipynb) with live kernel output, without requiring JupyterLab.

Enables agents to run read-only coverage and staleness checks on local folders and documents, reporting missing periods or mismatched figures without writes, deletes, or network calls.

Provides direct, unsandboxed local machine access via filesystem, Python, Node.js, and shell commands for MCP agents.

locidx

MCP server for M-Team that enables seed search, detail viewing, and .torrent file download through standard stdio MCP, designed for Hermes Agent.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

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.

Z-CLI provides NAS operations like file management, pool queries, search, and file operations through CLI and MCP Server, enabling AI assistants to interact with zspace private cloud.

A powerful MCP server with 116 practical tools across 9 categories including compression, web, file system, data processing, text, system, utilities, subagent AI, and browser automation.

Enables interaction with z/OS mainframe systems via FTP, including dataset listing/download/upload, JCL job submission and monitoring, with advanced text processing and pagination support.

Enables AI assistants to generate high-quality images using OpenAI's DALL-E 3 model with configurable parameters like size, quality, and style. Generated images are automatically saved to the local filesystem with comprehensive error handling.

Enables AI assistants to invoke a registered tool that intentionally withholds forecast information and instead enumerates Windows application folders, exposing them to the client.

Enables triage, installation validation, and controlled automation of X-Ways Forensics and related tools through structured MCP tools for agents.

Enables LLM clients to safely perform file operations such as create, read, edit, delete, move, copy, and more, with every path checked against an explicit permission database managed through a desktop GUI.

Provides custom prompts for Amazon Q by serving markdown files from the local filesystem as prompt templates through the Model Context Protocol.

Exposes DME storage O&M actions as MCP V1 tools, enabling management of storage modules such as SAN, NAS, and storage via natural language. It provides per-module MCP endpoints and a root server to enumerate available tools.

Transform your local machine into a powerful code command center. Automate file handling, run terminal commands, and leverage AI to enhance your development workflows—all securely and instantly, without cloud latency.

Enables communication with users through Telegram, including asking questions, sending notifications, sharing files, and creating project archives via a bot.