"Deploying an MCP service in an offline environment" matching MCP servers:

Gives an LLM a secure local workspace where it can write files, execute Python in a locked-down Docker container with no network access, and run read-only SQLite queries. Lets the model run, debug, and fix its own code without risking the host machine.

A security-first MCP server that provides LLMs with structured tools for filesystem, process, search, build/test/lint, IDE integration, and more.

Enables remote agents to control tldraw Desktop's Canvas API, manage documents, scripts, assets, and take screenshots.

Enables Claude to read and analyze PDF documents with automatic OCR processing for scanned files. Features intelligent text extraction, caching for performance, and secure file access with search capabilities.

MCP server for full-text search across PDF document collections with offline indexing, ranked results, snippets, and page rendering.

An MCP server for creating named checkpoints and snapshots of projects, with selective file restore, content diffs, and artifact preservation, enabling safe recovery from external file changes in Claude Code.

Enables read-only scanning and text extraction from PDF, DOCX, PPTX, SVG, and PNG files in a local folder, providing the raw text to AI models for summarization or analysis without an external LLM API.

Enables MCP clients to safely read, search, create, edit, delete, and move notes in an Obsidian vault, with automatic link repair and reversible deletes.

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.

Enables AI agents to inspect PDFs, merge or extract pages, and clean text entirely offline through the Model Context Protocol, with no uploads, API keys, or network calls.

Enables LLMs to maintain persistent memory by reading and writing Markdown notes and sibling image assets in a user-selected local or sync folder, with no cloud service, account, or server to run.

Enables AI coding agents to read, write, search, and organize notes in an Obsidian vault directly via the filesystem.

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.

An MCP server that provides LLMs with full read/write access to an Open Knowledge Format (OKF) knowledge bundle, enabling structured, persistent long-term memory.

Enables an AI agent to host a shared folder or join an invite link as a participant in a collaborative editing session, reading, editing, and writing the files the room shares. Runs the same sync engine and wire protocol as editor clients, so an agent and a person or another agent converge on the same documents and see each other's changes.

Mac file and terminal tools for local AI clients, plus an opt-in ChatGPT Developer Mode relay. Checked edits, bounded reads and real exit codes. Free MIT agent; OpenAI listing under review. Owner-level access, not a sandbox.

An MCP server that exposes filesystem operations — listing directories, reading, writing, and searching files — as tools an LLM can discover and invoke at runtime.

An MCP server to manage and organize a Calibre ebook library, enabling metadata editing, search, conversion, and more through AI assistants.

Local-first personal finance MCP that aggregates bank, brokerage, credit, and loan accounts via Plaid and writes balances, holdings, and transactions to an Obsidian-style markdown vault, with access tokens stored securely in macOS Keychain.

locidx

Acts as the 'Hands and Eyes' for an Autonomous AI Agent, bridging Large Language Models and your local development environment to enable safe file manipulation, context reading, command execution, and documentation verification.

An MCP server that enables AI coding tools to save, list, and read code snippets as files in the local filesystem.

Lets an AI agent list, read, search, and (when individually enabled) write Markdown notes and manage a task list in one sandboxed root folder. Access is read-only by default, with each write tool enabled by name and all paths confined to that folder.

An MCP server exposing read, write, edit, patch, glob, grep, shell, webfetch, and websearch tools with OpenCode-compatible names and parameters over Streamable HTTP or stdio. It lets an agent work in a root-confined workspace on another machine, with optional bearer-token authentication and guarded private-network and out-of-root access.

Enables an LLM agent to search files, list directories, read and write UTF-8 text files, move or delete paths, list terminal processes, and launch a terminal in a chosen folder.

Enables users to search files and directories through an MCP interface.

An MCP server that splits PDFs by chapters/sections and reads them in Claude-friendly chunks. Enables structured reading of large PDF documents.

Free, open-source 2D nesting for fixed sheets (laser, CNC, plasma, waterjet, fabric): SVG/DXF import, part-in-part nesting across several sheets, validation and export. Runs as an MCP server, on the command line and in the browser.

Gives an existing AI agent local stdio tools to list, read, create, and edit .kinoscript.json audio-visual scripts in a single folder on your machine. Writes are validated, atomic, confined to that folder, and optionally guarded by an updated-at check so concurrent edits aren't silently overwritten.

An MCP server for ABB/Hitachi Energy PCM600 that provides offline IEC 61850 SCL file analysis, .apcmp project archive inspection, ACT logic recovery, and safe read-only drive of the PCM600 CLI for project exports and validation.