"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.

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 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.

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.

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

Enables AI assistants to rapidly gather and synthesize structural, chemical, conservation, and literature data about protein binding pockets for drug-target triage. Useful as a reconnaissance step before computational binder design.

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 an agent to map MITRE ATT&CK techniques and actors to mitigating NIST 800-53r5 controls and severity-ordered DISA STIG fix/check steps for target systems. It answers questions about STIG mitigations, technique attribution, and applicable benchmarks once its local knowledge base is installed.

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.

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.

Integrates AlphaFold DB and eight other biomedical data sources into MCP tools for variant clinical reporting, disease-target analysis, structural intelligence, and drug repurposing, with results persisted to a local SQLite knowledge graph.

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

An installable MCP server that reviews diffs/PRs against a target repository's own coding conventions, learned via RAG over its code, docs, and lint config, citing specific file:line sources.

Evidence-driven quality testing for Model Context Protocol servers. It connects as a real client, captures the complete model-facing contract, identifies agent-usability risks, measures context cost, and executes only explicitly approved target calls.

A local MCP memory server for Kiro CLI that provides persistent semantic memory across sessions using SQLite for storage, Ollama for local vector embeddings, and Obsidian as a human-readable sync target.

Enables interaction with QQ through official bot APIs or personal accounts bridged via NapCat/OneBot v11, including status checks, target listing, bounded context retrieval, and plain-text sending to allowlisted conversations.

A minimal MCP server built with the official Python SDK that runs over stdio and exposes a health capability, providing a practical integration-testing target for AI and agent codebases.

A Pokemon TCG MCP server that looks up graded cards, manages a local SQLite collection, queries pricing providers, tracks a watchlist with target prices, and snapshots PSA pop counts for trend analysis.

Generates multi-day CKD meal plans for children based on PRNT targets (energy, protein, potassium, phosphorus, sodium), providing nutrient summaries and target achievement rates for dietitians.