"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.

A Model Context Protocol server for managing Adobe Target A/B and Experience Targeting activities via the Admin API, with automatic OAuth token handling.

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.

An MCP server for searching Target products and generating Shopping Cart Share links from a list of TCINs.

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.

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

Enables read-only interaction with HackerOne, providing tools for searching and analyzing reports, exploring programs and scope, accessing earnings, and retrieving public disclosures.

Enables AI agents to read and interact with the target5.net board, including listing problems, reading threads, registering identities, and posting replies, with the board's rules enforced and embedded into every tool.

Provides tools for interacting with Targetprocess, a project management and agile planning platform, enabling AI assistants to search, create, and update project entities with proper validation.

Enables AI assistants to interact with Targetprocess for search, create, update, and query of entities like User Stories and Bugs, with support for complex filters and data model discovery.

Provides AI agents with 0–100 marketplace-evidence scores for retail product listings, enabling inspection and comparison of products across Amazon, Walmart, Target, and Best Buy using native retailer IDs.

Search and read recipes from the English Wikibooks Cookbook, with tools to rescale ingredient lists to a target number of servings.

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.

Superhuman data-driven science. Allows agents to upload any tabular dataset, specify a target column, and get validated predictive patterns (with p-values, effect sizes, and context from literature) that surface feature interactions and subgroup effects you'd otherwise miss. Many discoveries already made, free for open data!

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 provides cross-validated npm dependency fitness verdicts, including deprecation, malicious detection, and safe migration target inference.

Provides read-only network diagnostics for a target host, including DNS, TLS, HTTP, and registry data.