Skip to main content

​
What is it?

MemContext provides a hosted MCP server that gives AI assistants persistent memory through the Model Context Protocol. No local installation or infrastructure required. The server handles input validation, project name normalization, and response formatting for assistant consumption. All business logic - deduplication, classification, hybrid search - runs in the MemContext API. MCP tools intentionally do not expose a free-form scope parameter. AI agents can invent isolation IDs, so app-user and tenant scopes should be controlled by your application through the REST API or TypeScript SDK. MCP remains focused on unscoped assistant memory plus optional project grouping.

​
Connection URL

https://mcp.memcontext.in/mcp
Authenticate with your API key via the MEMCONTEXT-API-KEY or X-API-Key header. See MCP Setup for client-specific configs.

​
Tools

The server exposes five tools:
ToolPurpose
save_memoryPersist durable knowledge across sessions
search_memoryFind relevant memories using hybrid search
memory_feedbackRate a retrieved memory as helpful, outdated, or wrong
update_memoryCorrect or refine an existing saved memory
delete_memoryRemove a memory by ID

​
Agent instructions

For best results, add the recommended agent instructions to your client’s preferences file. These tell the assistant when to search, when to save, and how to use categories and projects. The full instructions block and per-client file paths are documented in the MCP Setup guide.