"Target" matching MCP servers:

Enables automated assessment of research manuscripts against the TARGET reporting guideline for target trial emulation, providing item-by-item scoring with evidence and provenance.

An unofficial MCP server that enables natural language management of Adobe Target activities, offers, audiences, response tokens, and reporting through 33 integration tools.

MCP server connector for Target retail shopping. Enables AI assistants to search products, manage carts, and track orders on Target.com via browser automation.

Enables AI agents to search Target for groceries, compare unit prices, and manage a shopping cart, stopping short of checkout to keep the human in control.

Enables AI assistants to search products, manage shopping carts, place orders, and retrieve order history from Amazon and Target accounts.

MCP server exposing rlg (RustLogs) log files as tools for on-call / SRE agent workflows. Three tools over JSON-RPC stdio — tail_log (last N events, filtered by level/target), filter_log (predicate filtering), summarize_errors (grouped error taxonomy). Pure Rust. MIT OR Apache-2.0.

An MCP server implementing the ROBINS-I V2 framework for risk-of-bias assessment in non-randomized studies, with deterministic algorithms and full provenance. It enables users to parse study documents, specify target trial results, answer signalling questions with evidence-bound quotes, and compute or override domain judgements.

Answers "sales dropped since last week — where?" by comparing a target period against a weekday-adjusted baseline and localizing which attribute combinations (e.g. channel=web, or Tuesday nights) explain the shift. Runs fully offline on your own CSV — no API key, no ML training, read-only.

An MCP server that masters audio with a professional signal chain using ffmpeg, enabling loudness analysis, vocal-over-beat mixing, full mastering to target LUFS, and Dolby codec export.

A stdio MCP server that audits other MCP servers over the live protocol. It connects to any MCP target (stdio or HTTP), lints every tool's schema for agent-usability, then actually calls the tools with deliberately broken inputs to see how the server handles them, and returns a 0–100 conformance score with a per-dimension breakdown rendered as Markdown.

Computes biorhythm values (physical, emotional, intellectual) and generates a PNG chart showing sine curves based on birth date and optional target date.

MCP server for page-level i18n translation using Alibaba Cloud Qwen models, supporting incremental translation, glossary, and multiple target languages.

MCP server for HumanPen that lets AI agents work on real documents (.docx, .pptx, .pdf) — humanizing content to lower AI-detection scores, converting citations, condensing, and translating while preserving formatting, tables, images, and citations.

Topos scores code quality by analyzing the geometric and topological structure of program graphs, surfacing structural debt that conventional linters can't compute. Gives coding agents a medal-scored (SLOP → GOLD) feedback loop for writing cleaner, more composable code.

Provides CSS color utilities including parsing, conversion, gamut mapping, WCAG contrast, tint/shade ramp generation, and contrast-target solving.

Provides a read-only interface to audit and continue coding agent sessions by extracting plans, intents, and edit authorship from history across multiple agents (Claude, Codex, OpenCode, Antigravity, Pi) via MCP, CLI, and Python SDK.

Enables publishing to X (Twitter) — new posts, replies, quote-posts, and reposts — through a saved logged-in browser session with no API keys or developer account, verifying each target and confirming success from X's own responses. Also checks whether the saved session is live and which handle it belongs to.

MCP server for fenestra, a pure-Rust native GUI framework. Renders and verifies native UIs headlessly (no display, no GPU): a typed accessibility tree, semantic query/interact, contrast/focus-order/hit-target checks, screenshot diffing, and motion filmstrips.

Enables AI agents to interact with physical embedded target boards over a dual-CDC USB bridge using MCP tools. It exposes console reading, pattern waiting, command sending, reboot/login state machines, and in-RAM MicroPython execution while a single-owner daemon safely arbitrates access to the serial devices.

A version-aware documentation MCP server for mobile development that verifies API availability against target platform versions.