"Ars Technica" matching MCP servers:

MCP server that gives AI agents persistent, tenant-scoped memory with semantic search and consolidation, using CockroachDB vector indexes and Amazon Bedrock embeddings.

Enables AI assistants to access and query a verified knowledge base of Chinese whisky, including distillery profiles, flavor notes, product recommendations, regional maps, and content generation support.

An MCP server that enables users to retrieve information from AWS Knowledge Bases using RAG (Retrieval-Augmented Generation) via Bedrock Agent Runtime.

Enables read, write, edit, and file transfer operations on TorchV AIS enterprise knowledge bases. Supports document management, repository browsing, and administrative tasks with configurable readonly, write, or admin permission levels.

MCP server that provides secure access to a serverless Markdown wiki on AWS, enabling AI assistants to read, search, and edit pages with space-level permission checks and Bedrock-powered semantic search.

Enables searching imported AI conversations locally across different providers from an MCP client, with read-only access to the archive.

Enables Claude to intelligently query and analyze your resume using RAG technology. Supports skill matching against job requirements and answering questions about your professional background from locally stored resume files.

A vector search system that enables semantic retrieval of document chunks using MongoDB Atlas Vector Search and Voyage AI embeddings, allowing users to search documents by meaning rather than just keywords.

This MCP server enables any MCP client to perform web searches over HTTP using just an endpoint URL and API key, abstracting away AWS SigV4 signing and Bedrock AgentCore protocol translation entirely server-side.

CTX is a tool made to solve a big problem when chatting with LLMs like ChatGPT or Claude: giving them enough context about your project.

Enables agents to persistently record experiences, recall related episodes, run VRS convergence, and manage bounded world-state through MCP tools.

MCP server that provides tools to add to, search, and manage a wiki knowledge base, enabling AI chat tools to contribute and retrieve information from the wiki via natural language prompts.

An MCP server that provides custom prompts for guiding bot interactions, specifically to avoid using brackets in descriptions.

Persistent memory for AI agents — organized by time and space. Important memories get promoted, noise decays naturally, and related knowledge clusters into a browsable topic tree. Fully automatic.

A local-first memory retrieval engine for coding agents that stores project and conversation memory and retrieves source-grounded context through MCP.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Snapchat Ads (beta): https://www.cdata.com/download/download.aspx?sku=JPZK-V&type=beta

A tool that connects Google Ads with Claude AI, allowing users to analyze advertising data through natural language conversations and access campaign information, performance metrics, keyword analytics, and ad management.

A lightweight framework for building and orchestrating AI agents through the Model Context Protocol, enabling users to create scalable multi-agent systems using only configuration files.

Unified MCP server for the AmorSaúde ecosystem, combining SQL query, semantic search, medical record similarity, audio transcription, and LLM-as-Judge evaluation tools for multiple healthcare agents.

Provides AI agents with database-like operations over LanceDB with automatic BGE-M3 multilingual embedding generation, enabling semantic search, CRUD operations, and safe schema migrations across structured data.