"Multi-Agent Systems with Shared Memory Storage" matching MCP servers:

Enables AI coding agents to store and retrieve durable project decisions, conventions, environment notes, and bug fixes in Notion, with optional Obsidian Vault dual-write.

Agent-native object storage MCP server with per-agent DID isolation and x402 pay-per-byte metering in real Base USDC, enabling autonomous agents to store and retrieve objects with hot, warm, or cold retention classes.

AI-powered VMware storage management for vSphere. Manage datastores, iSCSI targets, and vSAN via natural language with 11 MCP tools.

Facilitates structured multi-agent debates with arguments, rebuttals, and judgments across multiple rounds, enabling diverse AI personas to engage in formal debate and collaborative problem-solving.

Provides a shared long-term memory across multiple AI clients, enabling persistent storage and retrieval of facts, preferences, decisions, and snippets with semantic search.

A lightweight MCP data broker that stores large binary payloads under a UUID, enabling MCP clients and agents to exchange massive results without flooding the LLM context window.

A stateless MCP server for composing, validating, auditing, and rendering consequential documents from a small semantic model.

Enables interaction with Google Cloud Storage buckets and blobs through an MCP server, supporting operations like listing, uploading, searching, batch operations, and generating signed URLs.

MCP-native persistent-memory agent that remembers user preferences across sessions, forgets superseded facts, and recalls relevant memories within a tight token budget.

Enables AI agents to access user and message data through MCP resources, providing REST API integration for user management with paginated lists and thread tracking.

Gives AI coding assistants persistent memory by storing, semantically searching, and organizing notes on Cloudflare's free tier.

Orchestrates multiple LLM agents to perform parallel code review, then synthesizes and votes on suggestions to rank improvements by consensus.

MCP server for end-to-end encrypted secret storage and retrieval, enabling LLM agents to fetch secrets by name via one-time URLs while keeping plaintext out of model context and logs.

Runs a multi-agent code review pipeline via MCP, analyzing git diffs for security, quality, and logic issues and returning a pass/fail verdict.

Read-only Azure storage intelligence MCP server enabling scoped investigations, risk analytics, cost savings simulation, data health checks, and admin tenant-wide discovery across a synthetic storage estate.

Enables claude.ai custom connectors to run SQL-like gviz queries against Google Sheets through a shared AWS-hosted MCP server protected by Cognito Google login, with room to add more tools over time.

An MCP server that proxies multiple MCP servers, allowing you to configure and access multiple MCP servers through a single endpoint with namespace support.

Enables multiple MCP-compatible AI clients to share persistent, versioned project knowledge across sessions with conflict-safe updates, provenance, hybrid retrieval, stale-memory handling, and context-budgeted recall.

An MCP server deployed on Cloud Run that enables reading Cloud Storage and leveraging Vertex AI models via natural language.

Enables AI-powered access to authoritative design systems knowledge, including W3C standards, WCAG guidelines, and best practices from 188+ curated entries via semantic vector search.