context-local-server 0.1.0

A stdio MCP server to provide long-term memory for AI agents.

AI Agent Context Server

local-context-server is a lightweight, local MCP (Model Context Protocol) server designed to provide long-term memory for AI agents like Gemini, Claude, and others within environments like Cursor.

It allows an AI agent to save, load, list, and search for "contexts"—pieces of knowledge such as application maps, test data, or business requirements—making it possible to create adaptive and intelligent QA automation.

Features

• Persistent Memory: Store any JSON-serializable data in a local SQLite database.

• Simple Tool API: Provides four core tools for the AI to manage its knowledge:

  • save_context: Save or update a piece of knowledge.
  • load_context: Retrieve knowledge by its unique ID.
  • list_contexts: Browse all available knowledge.
  • search_contexts: Search for knowledge by keyword.

• Automatic Database Location: The server automatically creates and manages its database file (memory_tests.db) in a folder named context-database inside your user's home directory. This requires no configuration.