"Loop" matching MCP servers:

Enables AI-moderated interviews that become cited, searchable transcripts, with a repository Q&A tool that returns exact transcript quotes.

An intelligent middleware that determines when human intervention is necessary in AI agent operations using a sequential scoring system that evaluates multiple dimensions of a request.

Gives local and cloud LLMs live web grounding as four MCP tools: web_search, fetch, deep_search (a token-capped, cited evidence pack sized to a small context window), and research (an agentic search-and-read loop). Flat monthly pricing, no query content stored.

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 AI agents to discover and access 800TB+ of public geospatial data from Source Cooperative, with tools for listing organizations, products, files, and fuzzy search.

MCP server that searches and matches youth policies and subsidies, checks eligibility conditions against user profiles, and returns detailed reasons (eligible/ineligible/needs_more_info) to drive an agentic question-answer loop.

A multi-agent RAG MCP server that answers questions from your documents with a human-in-the-loop approval step, using a coordinator, retriever, and synthesizer agents.

This MCP server lets AI assistants search job listings on Taiwan's 104 Job Bank, read full job details, and prepare applications with human-in-the-loop confirmation before final submission.

Enables AI agents to search verified tech and AI jobs, match resumes to roles with explainable fit scores, retrieve salary statistics, and prepare human-in-the-loop applications via the ENTRA job platform.

An MCP server for bulk Spotify operations enabling batch playlist creation, library exports, and large-scale library management with confidence scoring and human-in-the-loop for uncertain matches.

Enables searching Y Combinator startups and jobs via APIs, enriching listings, and applying with per-startup customized cover messages and human-in-loop email approval before submission.

tani (谷, "valley") is an agent-native hub. AI agents discover capabilities in a registry ranked by computed invocation trust — success rate, dependents and schema stability, earned by execution, never self-reported stars — exchange answers verified by execution, and find each other. tani-mcp puts the hub inside an agent's loop as 12 tools: resolve a capability by intent + constraints, describe a s

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.

Grounds external agents in public Indian judgments and statutes through MCP, enabling legal search and bounded document packets without requiring the full Roop platform.

Enables agents to perform semantic search, text comparison, clustering, and zero-shot classification locally without API costs, allowing repeated in-loop use.

This server lets users submit natural-language requirements, screenshots, or Excel files and receive grounded asset-matching recommendations, with an agentic loop that judges sufficiency, iteratively corrects its own search, and explicitly reports when no asset can support a request. It supports interactive feedback, multi-turn refinement, and integration through Web, REST, and MCP.

Enables AI assistants to search and retrieve unified product knowledge from documentation, training sessions, resolved support tickets, and curated team answers, with source attribution, and to report gaps that trigger a human review loop.

Enables AI agents to search and act on Telegram conversations, groups, channels, files, and links, with semantic search, AI-powered knowledge extraction, human-in-the-loop approvals, and PostgreSQL/pgvector persistence.

Enables AI assistants to search, compare, and buy products across connected WooCommerce stores with human-in-the-loop approval.

Open WebUI MCP server that exposes ask and list_models tools, letting any MCP client query Open WebUI models through the full tool-calling loop (including server-side tools) via stdio, SSE, or streamable HTTP transports.