"Loom" matching MCP servers:

Enables LLM agents to query a contract data room using structured metadata filters and BM25 full-text search over contract articles, returning relevant contracts, justifying clauses, and explicitly excluded unknowns. It supports exhaustive list answers and citation-ready JSON for MCP clients.

MCP search and evidence tool for AI agents. Rewrites queries, zooms into source domains, and returns sourced answers with metrics.

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.

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

Provides AI agents with structured access to Zoom recorded meetings, enabling search, summarization, and action item extraction.

This MCP server enables querying normalized escape room information and reservation availability via stdio or Streamable HTTP transports. It is a policy-driven scaffold that currently uses synthetic data only and does not perform real web crawling.