"Ram" matching MCP servers:

Caches and serves DDR/DRAM weekly price series from memorys.com and historical memory technology data, with tools for refresh, validation, analytics, forecasting, and chart rendering.

Enables an LLM agent to search products, manage a shopping cart, and reorder from purchase history at the Rami Levy supermarket chain via its real API.

Enables AI assistants to access Ramp's developer documentation and API schemas through natural language queries. Provides contextual answers about API endpoints, authentication methods, data relationships, and implementation patterns for developers building on Ramp's platform.

An MCP server that connects to the Ramp API, allowing users to interact with their Ramp financial data through natural language using MCP clients like Cursor or Claude Desktop.

Design review for UI code, inside your coding agent. Reviews React, Vue, Svelte, CSS and SwiftUI against 313 rules and returns scored findings with file:line fixes your agent can apply and verify.

A Model Context Protocol server that enables LLMs to interact with Ramp's financial data by retrieving, analyzing, and running tasks through Ramp's Developer API, using an in-memory SQLite database to overcome token limitations.

Enables interaction with the Rami Levy Online Grocery Store API, allowing users to perform product searches, add or remove items from their cart, and prepare for checkout, all while integrating with MCP-enabled LLMs.

Reviews every PR for security, bugs, and performance, then fixes the findings through MCP, keeping you in control of what merges.

An MCP server that evaluates product designs against Dieter Rams' 10 principles of good design, providing scores, feedback, and improvement suggestions.

Wraps Kali Linux penetration testing tools for authorized security assessments, driven by a local LLM via LM Studio.

Enables AI assistants to monitor real-time CPU, RAM, and disk usage on the local machine.

Local RAG system for Claude Code with hybrid search (semantic + BM25), cross-encoder reranking, markdown-aware chunking, and 12 MCP tools. Zero external servers, pure ONNX in-process.

Enables searching and reading AWS knowledge from sources the official AWS Knowledge MCP Server does not index, including re:Post community Q&A, kiro.dev documentation, and AWS Builder Center posts.

Exposes hybrid retrieval (dense embeddings + BM25 + RRF) and document operations (search, fetch, rerank) as MCP tools, using Qdrant and OpenAI embeddings for local or server mode.

MCP server that integrates with LM Studio to provide a search_notes tool, allowing the chat model to retrieve and answer from a local Obsidian vault.

Helps AI assistants optimize Linux workloads on Arm64 by parsing perf report output, recommending NEON SIMD intrinsics for hot loops, and auditing Python dependency manifests for arm64 wheel availability — all offline and structured.

A multi-agent Retrieval-Augmented Generation system exposed as an MCP server. Ask a question and a LangGraph pipeline plans the retrieval, pulls evidence from a pgvector knowledge base, optionally augments it with live web research, drafts a cited answer, and then self-critiques it for grounding — revising until the answer is supported by the sources.

A local MCP server that enables LLMs to securely search and read files within designated Google Drive folders. Supports Google Docs, Google Sheets, PDFs, and plain text with strict folder-scoping via service account authentication.

MCP server that integrates Apache Ranger authorization with RAG, enforcing Ranger policies to control access to knowledge bases before forwarding queries to RAG Studio.

Enables indexing local documents (PDF, Markdown, text, code) into a knowledge base and querying them via semantic search using local embeddings, all running privately on your machine.