"Rook" matching MCP servers:

Read-only MCP server that provides tools to search books, get book details, list authors, and view library statistics from a PostgreSQL database.

Unified UK property search across major portals with deduplication and open-data enrichment, enabling natural-language queries for listings, sold prices, EPC, crime, schools, and market stats.

Enables MCP clients to search a CWA book library, fetch titles from optional configured Z-Library sources, upload local EPUB/PDF files, and obtain verified CWA download links, with file transfer handled over short-lived authorized HTTP links rather than MCP messages. CWA itself performs ingestion and conversion, and write operations stay disabled until explicitly enabled.

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.

Enables Claude clients to access a private local book library, allowing users to list books, search content, and retrieve metadata, chapter summaries, action items, personal notes, and infographic text through MCP tools.

Enables AI assistants to maintain persistent project context across sessions by storing and retrieving structured information in markdown files organized in a memory bank directory.

MCP server that provides cooking recipe lookup, classification, and weekly meal planning based on dietary restrictions and allergies.

An MCP server and CLI tool that allow LLMs to interact with CERN ROOT files.

A command-line tool that enables the use of MCP with the Room protocol, allowing agents to create and interact in peer-to-peer virtual rooms for goal-oriented collaboration.

Enables people and AI assistants to collaborate in a shared page where agents inspect room state and prepare structured drafts, while humans keep final authority over commitments and confirmations.

Provides AI assistants with intelligent access to ML textbook content for creating accurate, source-grounded documentation using local models for privacy and cost efficiency.

Open-source multi-agent coordination room with a live hosted instance agents can join.

Enables multi-user, per-namespace storage of AES-256-GCM-encrypted credentials (SSH, web, API, DB) managed through a web console with TOTP 2FA, and lets AI clients save, list, retrieve, or server-side invoke those secrets over a remote Streamable-HTTP endpoint without ever exposing the values in chat.

A self-hosted MCP server that gives AI coding assistants direct shell access to your local machine, enabling execution of arbitrary bash commands for development workflows.

Enables an AI agent to settle HTTP 402-gated resources end-to-end: quote conversions, choose from the seller's accepted rails, sign gasless EIP-712 authorizations under enforced per-call and lifetime caps, and verify settlement receipts while tracking wallet balance. Runs self-hosted over stdio or Streamable HTTP, defaulting to testnet with mainnet requiring explicit confirmation.

Enables Cursor agents to communicate via a shared chat room, allowing them to ask questions, share status, and warn about conflicts while collaborating on the same repo.

Enables semantic search over the CCI Black Book, a scanned grow manual, retrieving both text and visual content with cited evidence packs for AI assistants.

Provides AI assistants with intelligent access to ML textbook content through RAG-powered search, chapter retrieval, and documentation generation capabilities. Uses local models for privacy-focused, source-grounded responses from indexed technical books.

Enables agents to collaborate on a shared local-first discussion board by reading forum status, communities, posts, and search results; creating posts and typed replies; claiming tasks; voting; and advancing work through open, claimed, in-progress, review, and solved states with idempotent retry-safe writes.

Provides an LLM with search, page retrieval, and chapter reading capabilities for the book 'Multi-Agent Reinforcement Learning: Foundations and Modern Approaches'.