Enables AI agents to queue, commit, push, and track durable Git transactions through a shared daemon, preserving other agents' unstaged work and allowing recovery by request ID.

Enables phrase-aware wrapping of Korean headlines into up to three lines at a specified approximate display width, using punctuation and Korean connective endings to avoid awkward word splits. Runs locally as a deterministic, read-only tool that preserves the original wording and returns both line arrays and text.

Enables an external AI client to discover tender portal APIs, collect and verify tender listings, combine sections, and select relevant lots from a user request through local MCP tools.

Enables host assistants to discover and read the toolkit’s research methods over a local stdio MCP connection, supporting research planning, literature work, scientific reasoning, writing, figures, and academic document workflows. It does not itself search scholarly databases, generate research results, compile documents, or call models.

Lets AI coding agents build, test, and lint Android projects with Gradle, control devices and emulators via adb, automate UI through screenshots and input injection, and use a live IDE bridge for refactoring, code inspection, and run configurations. Works with any MCP client over stdio or authenticated HTTP.

Equips AI coding agents with searchable production incident scenarios, outside-in diagnostic runbooks, interview elevator pitches, hardened Kubernetes manifest generation, CLI cheat sheets, and cloud architecture blueprints.

This MCP server lets an agent run local binary inspection on ELF, Mach-O, PE, APK, IPA, ASAR, WebAssembly, and firmware targets — pulling symbols, sections, classified strings, disassembly, and mitigation posture, and flagging dangerous imports and CWE patterns. It exposes eight stdio JSON-RPC tools (with no external API keys) that feed a multi-agent swarm for attack-surface mapping and exploit-chain synthesis.

Enables users to connect ChatGPT or remote MCP clients to their own Garmin cloud health and activity data through a self-hosted, read-only OAuth-protected Cloudflare Worker.

Exposes 16 local stdio MCP tools that give Codex-style clients project-isolated persistent memory, local ONNX-based semantic search, and durable task tracking that survives across sessions and concurrent clients, without executing agents, hosting a model, or contacting model providers.

Enables users to learn the full path for connecting a WhatsApp number to Meta's official Cloud API—including virtual numbers and Coexistence—and diagnose each onboarding phase with Graph API checks.

Enables AI agents to debug Commodore software in a locally running VICE emulator through its text remote monitor, inspecting registers, memory and screens, disassembling code, setting breakpoints and watchpoints, controlling execution, and working with disk images, snapshots and exported graphics. Runs locally over stdio and includes safety guidance for state-changing operations.

Enables agents to analyze OpenAPI contracts for deterministic integration risks, plan auth, sync, action, and webhook candidates, and diff contract versions for likely breaking changes through read-only tools.

Enables AI agents to discover and work with a user's permitted Excalidraw boards through a single MCP endpoint, reading and adding elements, images, and snapshots while respecting owner, view, edit, and guest-link access controls.

Enables control of an attached Android phone over ADB, including screenshots, taps, typing, key/chord input via a virtual HID keyboard, UI inspection, and device information without root.

Enables controlled, human-style mouse, keyboard, and clipboard interaction with Windows applications through MCP tools for window inspection, safe activation, cursor movement, clicks, dragging, typing, scrolling, copy/cut/paste, background reading, and pause/resume safeguards.

Enables Claude to read recent activities and wellness data, then design, create, update, and delete structured workouts that sync through intervals.icu to Garmin Connect and the user's watch.

Enables AI hosts to retain evidence, check explicit constraints, plan bounded work, and record outcomes through local-first MCP operations. Optional reconstruction tools also support experimental image-to-3D workflows with local model providers and Blender.

Enables local access to personal banking data such as accounts, balances, transactions, and CSV exports, with optional preview and confirmation of transfers between the user's own accounts, including credit cards and pensions. Requires Node.js 22+, a customer account, and a personal API client with BankID login.

Enables MCP clients to drive a local Windows avatar interface, switching between an energy core and holographic face, triggering expressions, and reacting to microphone volume through seven exposed tools. It serves an animated visual panel over localhost with SSE updates while conversation stays in ChatGPT.

Enables AI agents to build, validate, and submit ledger-native XRPL transactions against public nodes — escrows, XRP and token payments, DEX/AMM swaps and liquidity, issuer clawback, and x402 pay-per-request — with validated-ledger proof of results. State-changing calls go to the account owner for browser signing, while an owner-funded agent account allows autonomous spending bounded by on-ledger balance and local policy limits.

An MCP proxy that sits in front of bank tool servers, letting AI agents make read-only calls like balances and transactions while blocking payments, writes, renamed tools and argument smuggling. Each denial produces an Ed25519-signed receipt that can be verified offline.

Enables Claude to read your own Garmin Connect data—activities and exact pace splits, VO2 max and training effect, sleep, HRV, Body Battery, stress, weight and more—through Garmin's official Personal API, with no password or scraping. Access is read-only and runs entirely on your machine, so you can ask natural-language questions about training and recovery.

Enables MCP-compatible AI applications to translate text between languages with automatic language detection, contextual hints, custom instructions, and multi-language support.

Enables MCP-compatible AI applications to translate text between many languages, with automatic source-language detection, contextual hints, and custom translation instructions.