"Loop" matching MCP servers:

Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.

MCP server for FirstHandAPI that enables AI agents to create and manage human-in-the-loop data collection jobs (photos, audio, video, screen recordings) with automated AI quality scoring.

Feynman's twelve-problems method as an MCP server — a persistent set of long-running problems plus an evoke loop that tests each new trick against all of them. Local, TypeScript, no LLM inside, no API key.

Design and simulate wire antennas using the NEC2 method-of-moments solver via MCP. Supports dipole, Yagi-Uda, vertical, loop, and inverted-V geometries with pattern, impedance, and VSWR analysis.

A secure MCP server enabling tool calls (kb_search, read_doc, publish_report) through a zero-trust CapabilityBroker with OWASP LLM Top-10 guardrails and human-in-the-loop approval.

Chat with any brand's Meta (Facebook/Instagram) ads inside Claude — research a competitor's ad library, find their longest-running winners, extract hooks and formats, and clone winning ads for your own brand.

Provides access to the NASA Planetary Data System Registry API, enabling human-in-the-loop search and exploration of planetary data products, missions, celestial bodies, and instruments.

MCP server for alive-analysis. Query, search, and retrieve structured analysis history written with the ALIVE loop (Ask→Look→Investigate→Voice→Evolve), plus dashboard JSON export.

Author verifiable eval records through a draft → review → revise → submit loop with server-enforced graders; compile to JSONL/CSV/Inspect/lm-eval via MCP.

Enables AI agents to retrieve and analyze breeding data from BrAPI-compliant databases through shared tools, with human-in-the-loop approval and verification.

An MCP server that enforces a scientific-method loop for AI-driven machine learning experiments, with hypothesis gating, diagnostics, and data forensics.

Enables extraction of structured data from messy text with multi-model verification and human-in-the-loop review, surfacing only high-confidence results or flagging uncertain fields for confirmation.

This MCP server enables human-in-the-loop semantic labeling by creating self-contained HTML forms for ambiguous data and securely retrieving labeled results.

Enables grounded, dated research from a curated AI-knowledge repository, offering free BM25 retrieval and a research loop that combines the knowledge base, curated sources, and the open web with tiered citations.

Enables Claude to control PyMOL for molecular visualization and structural biology analysis. It uniquely features screenshot capture capabilities that provide a visual feedback loop, allowing the AI to see and verify the results of its commands.

Checks whether a trading backtest survives its own statistics: deflated Sharpe, multiple-testing correction against a best-of-N-noise benchmark, minimum track record length, and fill realism. Takes no market data and no API keys, and cannot recommend a trade — it only reports that a result is weaker than claimed or not yet provable.

MCP bridge for Demeter/Artemis EXAFS fitting. Enables headless fits, building Artemis projects, generating LaTeX reports, and launching the Artemis GUI.

Enables coding agents to generate investor-grade business strategy artifacts — SWOT, Business Model Canvas, TAM-SAM-SOM, financial forecasts, pricing and competitive analyses — plus shareable investor decks from a single business idea, with built-in strategy chat and credit balance tools. All 8 tools are exposed over stdio MCP so agents can run research, generation, and deck creation themselves without a browser or human in the loop.