"Red" matching MCP servers:

An MCP server that provides queryable access to Anti-Money Laundering (AML) red flag knowledge from regulatory documents. It enables compliance officers to ask natural-language questions and receive relevant, sourced red flags from a local vector database.

Enables comprehensive Reddit research through a three-layer architecture that discovers relevant communities, provides operation guidance, and executes multi-subreddit content fetching with proper citations. Supports searching, post fetching, comment analysis, and batch operations across multiple subreddits for thorough content analysis.

Enables deep, recursive multi-source scientific literature research across 8+ academic databases, producing cited, evidence-graded reports with red-team review and cost details through an outline-first, user-confirmed workflow.

The Redis Cloud API MCP Server provides an MCP Server for Redis Cloud's API, allowing you to manage your Redis Cloud resources using natural language.

The official Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis.

Provides access to 21+ AI search parsers including Perplexity, ChatGPT, Claude, Gemini, Copilot, Grok, DeepSeek, and traditional search engines through the Redis API, enabling multi-source AI-powered search and information retrieval.

MCP server that answers questions using Reddit discussions as evidence, searching threads, fetching comments, and ranking useful context, with optional cited answer synthesis.

A Multi-Agent Conversation Protocol server that enables users to interact with the Redeal.io analytics API through natural language, automatically generated using AG2's MCP builder.

Rod-MCP provides browser automation capabilities for your applications by using Rod. The server provides many useful mcp tools enable LLMs to interact with the web pages, like click, take screenshot, save page as pdf etc.

MCP server exposing memory search, index, and stats tools for agents, with honesty guards to prevent re-litigation of settled decisions.

Provides read-only MCP tools for searching and asking over private documents via a local RAG service (reed), returning ranked passages with citations while keeping data on the machine.

A local-first, zero-token memory MCP server for AI coding agents, storing memories in SQLite and providing memory_recall and memory_add tools for pull-based retrieval.

An ingredient-based recommendation engine that identifies similar products using TF-IDF vectorization and scans ingredient lists for potential irritants. It enables users to perform NLP-based product matching and check for skin-sensitivity red flags within Claude.

A server that enables LLMs like Claude to query AWS DynamoDB databases through natural language requests, supporting table management, data querying, and schema analysis.

Enables local-first context retrieval and management from JSONL and Markdown sources through MCP, with a rebuildable full-text search index and support for stable reference pagination.

Adds interactive widgets to LLM chats for common tasks like timers, stopwatches, unit conversions, and displaying facts. Breaks away from text-only interfaces by providing visual, interactive components similar to Google's search result widgets.

Provides LLM agents with a persistent, hippocampal-style memory layer, enabling novelty-gated memorization, hybrid semantic and keyword recall, reflection, and consolidation across global and project scopes via MCP tools.

RAGX MCP Server enables retrieval-augmented generation with document ingestion, hybrid search, and agentic answering using Claude, exposing tools for querying, searching, and managing documents.

A Model Context Protocol server that provides safe, intelligent read/write access to NetBox instances, designed with safety-first principles for Large Language Model automation.

A central registry MCP server that routes requests to specialized AI services including embeddings, PDF extraction, reranking, vector search (Qdrant), PostgreSQL, LLM completions, markup, and transcription. Includes a proxy server with RAG pipeline for document processing and retrieval.