"memory" matching MCP servers:

Hosts multiple Model Context Protocol servers (fetch, memory, GitHub, Postgres, utils) behind a single authenticated gateway, giving AI agents instant access via one Bearer token.

A serverless proxy for the Graphiti MCP server, enabling AI agents to maintain memory and context through Neo4j knowledge graphs, deployed on Cloudflare Workers.

Read-only MCP server for querying Cloudera Manager metrics (CPU, memory, disk, health) for CDP Public Cloud DataHubs via natural language, using workload credentials and Knox.

Enables AI agents to run arbitrary Python scripts on Modal's serverless infrastructure with on-demand CPU, memory, and GPU resources, providing scalable compute without maintaining always-on servers.

A remote MCP server deployed on Cloudflare Workers that integrates with Mem0 to provide memory writing and retrieval tools, compatible with SSE and standard MCP connections.

Your agent ships your app to a live HTTPS address. Alerts, logs, backups, rollback and project memory come with it, and nothing is deleted without your approval.

Azure VM sizes and USD list prices for 1,400+ sizes in 24 regions, refreshed weekly: find the cheapest size for vCPU, memory or GPU needs, estimate monthly cost with reservations and savings plans, and track weekly price changes.

Enables comprehensive analysis of AWS Lambda performance including cold start tracking, memory utilization monitoring, cost analysis, and optimization recommendations. Provides real-time metrics, comparative analysis across multiple functions, and actionable insights to improve Lambda performance and reduce costs.

Encrypted memory for Claude, on a server you deploy to your own Cloudflare account.

Enables AI assistants such as Claude, Gemini, and GPT to connect directly to VMware ESXi and vCenter hosts over stdio JSON-RPC. Provides full virtual machine lifecycle management (create, clone, delete, power on/off) plus real-time CPU, memory, storage, and network performance monitoring, with API key authentication and SSL/TLS support.

Enables AI clients to interact with Letta.ai's stateful agents via cloud deployment on Railway. Provides 20+ tools for agent management, conversations, memory operations, and tool configuration through a streamable HTTP transport optimized for production use.