MCP Server

MCP MCP server is a hosted integration for AI assistants that speak the Model Context Protocol. An MCP server that provides persistent multimodal context storage for LLM agents.

What you get

A high-performance Model Context Protocol (MCP) server providing persistent multimodal context storage for LLM agents. Built with FastMCP, this server enables seamless context sharing across multiple agents working on the same task through thread-based scoping.

• Multimodal Context Storage — Store and retrieve both text and images
• UUIDv7 Context Identifiers — Every context entry is identified by a 32-character lowercase hex UUIDv7 value, providing time-ordered, globally unique IDs with a stable lex-string ordering
• Thread-Based Scoping — Agents working on the same task share context through thread IDs
• Flexible Metadata Filtering — Store custom structured data with any JSON-serializable fields and filter using 16 powerful operators
• Date Range Filtering — Filter context entries by creation timestamp using ISO 8601 format
• Tag-Based Organization — Efficient context retrieval with normalized, indexed tags

Setting it up

Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.

Choosing this one

This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by alex-feel; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Before you rely on it

• Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the mcp mcp server does with a few real requests.